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description Publicationkeyboard_double_arrow_right Article 2015 ItalyPublisher:Springer Science and Business Media LLC Funded by:EC | MULTIJEDIEC| MULTIJEDIAuthors: Jurgens, DAVID ALAN; Pilehvar, MOHAMMED TAHER; Navigli, Roberto;Jurgens, DAVID ALAN; Pilehvar, MOHAMMED TAHER; Navigli, Roberto;handle: 11573/845288
Semantic similarity has typically been measured across items of approximately similar sizes. As a result, similarity measures have largely ignored the fact that different types of linguistic item can potentially have similar or even identical meanings, and therefore are designed to compare only one type of linguistic item. Furthermore, nearly all current similarity benchmarks within NLP contain pairs of approximately the same size, such as word or sentence pairs, preventing the evaluation of methods that are capable of comparing different sized items. To address this, we introduce a new semantic evaluation called cross-level semantic similarity (CLSS), which measures the degree to which the meaning of a larger linguistic item, such as a paragraph, is captured by a smaller item, such as a sentence. Our pilot CLSS task was presented as part of SemEval-2014, which attracted 19 teams who submitted 38 systems. CLSS data contains a rich mixture of pairs, spanning from paragraphs to word senses to fully evaluate similarity measures that are capable of comparing items of any type. Furthermore, data sources were drawn from diverse corpora beyond just newswire, including domain-specific texts and social media. We describe the annotation process and its challenges, including a comparison with crowdsourcing, and identify the factors that make the dataset a rigorous assessment of a method's quality. Furthermore, we examine in detail the systems participating in the SemEval task to identify the common factors associated with high performance and which aspects proved difficult to all systems. Our findings demonstrate that CLSS poses a significant challenge for similarity methods and provides clear directions for future work on universal similarity methods that can compare any pair of items.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2016Data sources: Archivio della ricerca- Università di Roma La SapienzaLanguage Resources and EvaluationArticle . 2015 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Average influence Average impulse Average Powered by BIP!more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2016Data sources: Archivio della ricerca- Università di Roma La SapienzaLanguage Resources and EvaluationArticle . 2015 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10579-015-9318-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Book 2020 EnglishPublisher:Oxbow Books Funded by:EC | MENTICAEC| MENTICAAuthors: Matthews, Roger; Matthews, Wendy; Rasheed Raheem, Kamal; Richardson, Amy;Matthews, Roger; Matthews, Wendy; Rasheed Raheem, Kamal; Richardson, Amy;The Eastern Fertile Crescent region of western Iran and eastern Iraq hosted major developments in the transition from hunting and gathering to more sedentary agricultural lifestyles through the Early Neolithic period, 10,000-7000 BC. Within the scope of the Central Zagros Archaeological Project, excavations have been conducted at two Early Neolithic sites in the Kurdistan region of Iraq: Bestansur and Shimshara, as well as survey in the region of the Epipalaeolithic site of Zarzi since 2012. Bestansur represents an early stage in the transition to sedentary, agricultural life, where the inhabitants pursued a biodiverse strategy of hunting, gathering, herding and cultivating, maximising the new opportunities afforded by the warmer climate of the Early Holocene. They also constructed a substantial settlement of mudbrick, including a major building with a minimum of 78 human individuals buried under its floor in association with hundreds of beads. These buildings and human remains provide new insights into social relations, mortuary practices, demography, diet, health and disease during the early stages of sedentarisation. The material culture of Bestansur and Shimshara is rich in imported items such as obsidian, carnelian and sea-shells, indicating the extent to which Early Neolithic communities were networked across the Eastern Fertile Crescent and beyond along routes that later became the Silk Roads. This volume includes final reports by a large-scale interdisciplinary team on a wealth of new data from excavations at Bestansur and Shimshara, through application of state-of-the-art scientific techniques, integrated ecological and social approaches and sustainability studies. The net result is to re-emphasise the enormous significance of the Eastern Fertile Crescent in one of the most important episodes in human history: the Neolithic transition.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 1Kvisibility views 1,018 download downloads 797 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 SpainPublisher:Universidad de Valladolid Funded by:EC | RESISTANCEEC| RESISTANCEAuthors: Serna Vallejo, Margarita;Serna Vallejo, Margarita;RESUMEN: Desde finales de la Baja Edad Media y a lo largo de Época Moderna, algunas de las cofradías de pescadores establecidas en el corregimiento de las Cuatro Villas de la Costa consiguieron que la Monarquía les reconociera el privilegio de disfrutar de una jurisdicción marítima en cada corporación. El establecimiento de estas jurisdicciones disgustó a otras instituciones que vieron disminuidas sus competencias jurisdiccionales. Y de esta situación surgieron distintos conflictos en los que las hermandades tuvieron que luchar por la conservación de la jurisdicción marítima. ABSTRACT: Since the end of the Late Middle Ages and throughout the Modern Era, some of the fishermen's associations established in the corregimiento of the Four Villas of the Coast managed to get the Monarchy to recognize the privilege of enjoying a maritime jurisdiction in each brotherhood. The establishment of these jurisdictions disgusted other institutions that saw their jurisdiction diminished. From this situation arose different conflicts in which the brotherhoods had to fight for the preservation of the maritime jurisdiction. Este trabajo se ha realizado en el marco del Proyecto de Investigación Culturas urbanas en la España Moderna: policía, gobernanza e imaginarios (siglos XVI-XIX) con referencia HAR2015-64014-C3-1-R, financiado por el Ministerio de Economía y Competitividad) y del europeo (Rebellion and Resistance in the Iberian Empires, 16th-19th Centuries que ha recibido financiación del programa de investigación e innovación Horizonte 2020 de la Unión Europea en virtud del acuerdo de subvención Marie Skłodowska-Curie No 778076.
Repositorio Document... arrow_drop_down Repositorio Documental de la Universidad de Valladolid; INVESTIGACIONES HISTÓRICAS ÉPOCA MODERNA Y CONTEMPORÁNEAOther literature type . Article . 2018 . Peer-reviewedLicense: CC BY NC NDINVESTIGACIONES HISTÓRICAS ÉPOCA MODERNA Y CONTEMPORÁNEAArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 85visibility views 85 download downloads 58 Powered bymore_vert Repositorio Document... arrow_drop_down Repositorio Documental de la Universidad de Valladolid; INVESTIGACIONES HISTÓRICAS ÉPOCA MODERNA Y CONTEMPORÁNEAOther literature type . Article . 2018 . Peer-reviewedLicense: CC BY NC NDINVESTIGACIONES HISTÓRICAS ÉPOCA MODERNA Y CONTEMPORÁNEAArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24197/ihemc.38.2018.49-76&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 ItalyPublisher:Elsevier BV Funded by:EC | SUCCESSEC| SUCCESSSimona Arrighi; Adriana Moroni; Laura Tassoni; Francesco Boschin; Federica Badino; Eugenio Bortolini; Paolo Boscato; Jacopo Crezzini; Carla Figus; Manuela Forte; Federico Lugli; Giulia Marciani; Gregorio Oxilia; Fabio Negrino; Julien Riel-Salvatore; Matteo Romandini; Marco Peresani; Enza Elena Spinapolice; Annamaria Ronchitelli; Stefano Benazzi;The arrival of Modern Humans (MHs) in Europe between 50 ka and 36 ka coincides with significant changes in human behaviour, regarding the production of tools, the exploitation of resources and the systematic use of ornaments and colouring substances. The emergence of the so-called modern behaviours is usually associated with MHs, although in these last decades findings relating to symbolic thinking of pre-Sapiens groups have been claimed. In this paper we present a synthesis of the Italian evidence concerning bone manufacturing and the use of ornaments and pigments in the time span encompassing the demise of Neandertals and their replacement by MHs. Current data show that Mousterian bone tools are mostly obtained from bone fragments used as is. Conversely an organized production of fine shaped bone tools is characteristic of the Uluzzian and the Protoaurignacian, when the complexity inherent in the manufacturing processes suggests that bone artefacts are not to be considered as expedient resources. Some traces of symbolic activities are associated to Neandertals in Northern Italy. Ornaments (mostly tusk shells) and pigments used for decorative purposes are well recorded during the Uluzzian. Their features and distribution witness to an intriguing cultural homogeneity within this technocomplex. The Protoaurignacian is characterized by a wider archaeological evidence, consisting of personal ornaments (mostly pierced gastropods), pigments and artistic items.
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Ferrara; Usiena air - Università di Siena; Archivio istituzionale della ricerca - Università di Genova; Quaternary InternationalOther literature type . Article . 2020 . 2019 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2019Data sources: arXiv.org e-Print ArchiveArchivio della ricerca- Università di Roma La SapienzaArticle . 2019Data sources: Archivio della ricerca- Università di Roma La Sapienzahttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.quaint.2019.11.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 26 citations 26 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Ferrara; Usiena air - Università di Siena; Archivio istituzionale della ricerca - Università di Genova; Quaternary InternationalOther literature type . Article . 2020 . 2019 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2019Data sources: arXiv.org e-Print ArchiveArchivio della ricerca- Università di Roma La SapienzaArticle . 2019Data sources: Archivio della ricerca- Università di Roma La Sapienzahttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.quaint.2019.11.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, ItalyPublisher:Springer Science and Business Media LLC Funded by:EC | CollectionCareEC| CollectionCareFrasca, Francesca; Verticchio, Elena; Peiró-Vitoria, Andrea; Grinde, Andreas; Bile, Alessandro; Chimenti, Claudio; Conati Barbaro, Celia; Favero, Gabriele; Fazio, Eugenio; García Diego, Fernando Juan; Siani, Anna Maria;handle: 10251/198610 , 11573/1662550
[EN] The study of the microclimate is pivotal for the protection and conservation of cultural heritage. This paper describes specifc procedures aimed at the deployment of microclimate sensors in spaces housing collections (e.g., museums) under diferent scenarios. The decision making involves a multidisciplinary discussion among museum manager, con¿ servator and conservation scientist and implies fve steps. Since the sensor¿s deployment depends on the number of available sensors, we have identifed two possible circumstances: (a) artwork-related deployment (i.e., there are as many sensors as the number of artworks) and (b) artwork-envelope-related deployment (i.e., the number of available sensors is less than the number of artworks). The former circumstance is advisable when the artwork is often moved from a museum to another one. The latter circumstance is usually the case of permanent collections, and, according to the Museum Scenario (MS), the related procedures can be further subdivided into basic (MSI and MSII) and advanced (MSIII and MSIV). Advanced procedures are preferable over basic procedures when several time series of microcli¿ mate data have been collected for at least one calendar year in several sampling points. All these procedures make it possible to design where to deploy sensors both in the case of an initial deployment and of optimisation of already installed sensors. This research was funded by the European Union's Horizon 2020 research and innovation program under grant agreement No.814624.
Archivio della ricer... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert Archivio della ricer... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2021 ItalyPublisher:Association for the Advancement of Artificial Intelligence (AAAI) Funded by:EC | ELEXIS, EC | MOUSSEEC| ELEXIS ,EC| MOUSSEAuthors: Michele Bevilacqua; Rexhina Blloshmi; Roberto Navigli;Michele Bevilacqua; Rexhina Blloshmi; Roberto Navigli;In Text-to-AMR parsing, current state-of-the-art semantic parsers use cumbersome pipelines integrating several different modules or components, and exploit graph recategorization, i.e., a set of content-specific heuristics that are developed on the basis of the training set. However, the generalizability of graph recategorization in an out-of-distribution setting is unclear. In contrast, state-of-the-art AMR-to-Text generation, which can be seen as the inverse to parsing, is based on simpler seq2seq. In this paper, we cast Text-to-AMR and AMR-to-Text as a symmetric transduction task and show that by devising a careful graph linearization and extending a pretrained encoder-decoder model, it is possible to obtain state-of-the-art performances in both tasks using the very same seq2seq approach, i.e., SPRING (Symmetric PaRsIng aNd Generation). Our model does not require complex pipelines, nor heuristics built on heavy assumptions. In fact, we drop the need for graph recategorization, showing that this technique is actually harmful outside of the standard benchmark. Finally, we outperform the previous state of the art on the English AMR 2.0 dataset by a large margin: on Text-to-AMR we obtain an improvement of 3.6 Smatch points, while on AMR-to-Text we outperform the state of the art by 11.2 BLEU points. We release the software at github.com/SapienzaNLP/spring.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La SapienzaProceedings of the AAAI Conference on Artificial IntelligenceArticle . 2021 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 24 citations 24 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 67visibility views 67 download downloads 39 Powered bymore_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La SapienzaProceedings of the AAAI Conference on Artificial IntelligenceArticle . 2021 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2016 ItalyPublisher:Elsevier BV Funded by:EC | MULTIJEDIEC| MULTIJEDISebastian Krause; Leonhard Hennig; Andrea Moro; Dirk Weissenborn; Feiyu Xu; Hans Uszkoreit; Roberto Navigli;handle: 11573/960096
Recent years have seen a significant growth and increased usage of large-scale knowledge resources in both academic research and industry. We can distinguish two main types of knowledge resources: those that store factual information about entities in the form of semantic relations (e.g., Freebase), namely so-called knowledge graphs, and those that represent general linguistic knowledge (e.g., WordNet or UWN). In this article, we present a third type of knowledge resource which completes the picture by connecting the two first types. Instances of this resource are graphs of semantically-associated relations (sar-graphs), whose purpose is to link semantic relations from factual knowledge graphs with their linguistic representations in human language. We present a general method for constructing sar-graphs using a language- and relation-independent, distantly supervised approach which, apart from generic language processing tools, relies solely on the availability of a lexical semantic resource, providing sense information for words, as well as a knowledge base containing seed relation instances. Using these seeds, our method extracts, validates and merges relation-specific linguistic patterns from text to create sar-graphs. To cope with the noisily labeled data arising in a distantly supervised setting, we propose several automatic pattern confidence estimation strategies, and also show how manual supervision can be used to improve the quality of sar-graph instances. We demonstrate the applicability of our method by constructing sar-graphs for 25 semantic relations, of which we make a subset publicly available at http://sargraph.dfki.de. We believe sar-graphs will prove to be useful linguistic resources for a wide variety of natural language processing tasks, and in particular for information extraction and knowledge base population. We illustrate their usefulness with experiments in relation extraction and in computer assisted language learning.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 12 citations 12 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.3199232&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 ItalyPublisher:Association for Computational Linguistics (ACL) Funded by:EC | MOUSSEEC| MOUSSEAuthors: Procopio, Luigi; Tripodi, Rocco; Navigli, Roberto;Procopio, Luigi; Tripodi, Rocco; Navigli, Roberto;handle: 11585/905220 , 11573/1605363 , 10278/5047986
Graph-based semantic parsing aims to represent textual meaning through directed graphs. As one of the most promising general-purpose meaning representations, these structures and their parsing have gained a significant interest momentum during recent years, with several diverse formalisms being proposed. Yet, owing to this very heterogeneity, most of the research effort has focused mainly on solutions specific to a given formalism. In this work, instead, we reframe semantic parsing towards multiple formalisms as Multilingual Neural Machine Translation (MNMT), and propose SGL, a many-to-many seq2seq architecture trained with an MNMT objective. Backed by several experiments, we show that this framework is indeed effective once the learning procedure is enhanced with large parallel corpora coming from Machine Translation: we report competitive performances on AMR and UCCA parsing, especially once paired with pre-trained architectures. Furthermore, we find that models trained under this configuration scale remarkably well to tasks such as cross-lingual AMR parsing: SGL outperforms all its competitors by a large margin without even explicitly seeing non-English to AMR examples at training time and, once these examples are included as well, sets an unprecedented state of the art in this task. We release our code and our models for research purposes at https://github.com/SapienzaNLP/sgl.
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' Foscari; Archivio della ricerca- Università di Roma La Sapienza; Archivio istituzionale della ricerca - Alma Mater Studiorum Università di BolognaOther literature type . Conference object . 2021 . Peer-reviewedArchivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' Foscari; Archivio della ricerca- Università di Roma La Sapienza; Archivio istituzionale della ricerca - Alma Mater Studiorum Università di BolognaOther literature type . Conference object . 2021 . Peer-reviewedArchivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Book 2021 Netherlands Funded by:EC | K-PLEXEC| K-PLEXAuthors: Edmond, Jennifer; Horsley, Nicola; Lehmann, Jörg; Priddy, Mike;Edmond, Jennifer; Horsley, Nicola; Lehmann, Jörg; Priddy, Mike;This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission.This book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focussing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5040/9781350239654&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5040/9781350239654&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Contribution for newspaper or weekly magazine , Preprint , Conference object , Article 2016 United KingdomPublisher:ISCA Funded by:EC | SUMMAEC| SUMMAAhmed Ali; Najim Dehak; Patrick Cardinal; Sameer Khurana; Sree Harsha Yella; James Glass; Peter Bell; Steve Renals;In this paper, we investigate different approaches for dialect identification in Arabic broadcast speech. These methods are based on phonetic and lexical features obtained from a speech recognition system, and bottleneck features using the i-vector framework. We studied both generative and discriminative classifiers, and we combined these features using a multi-class Support Vector Machine (SVM). We validated our results on an Arabic/English language identification task, with an accuracy of 100%. We also evaluated these features in a binary classifier to discriminate between Modern Standard Arabic (MSA) and Dialectal Arabic, with an accuracy of 100%. We further reported results using the proposed methods to discriminate between the five most widely used dialects of Arabic: namely Egyptian, Gulf, Levantine, North African, and MSA, with an accuracy of 59.2%. We discuss dialect identification errors in the context of dialect code-switching between Dialectal Arabic and MSA, and compare the error pattern between manually labeled data, and the output from our classifier. All the data used on our experiments have been released to the public as a language identification corpus.
Edinburgh Research E... arrow_drop_down Edinburgh Research ExplorerContribution for newspaper or weekly magazine . 2016Data sources: Edinburgh Research ExplorerarXiv.org e-Print ArchiveOther literature type . Preprint . 2015Data sources: arXiv.org e-Print Archivehttps://doi.org/10.21437/Inter...Other literature type . Conference object . 2016Data sources: European Union Open Data Portalhttps://doi.org/10.21437/inter...Conference object . 2016 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 47 citations 47 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!more_vert Edinburgh Research E... arrow_drop_down Edinburgh Research ExplorerContribution for newspaper or weekly magazine . 2016Data sources: Edinburgh Research ExplorerarXiv.org e-Print ArchiveOther literature type . Preprint . 2015Data sources: arXiv.org e-Print Archivehttps://doi.org/10.21437/Inter...Other literature type . Conference object . 2016Data sources: European Union Open Data Portalhttps://doi.org/10.21437/inter...Conference object . 2016 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2015 ItalyPublisher:Springer Science and Business Media LLC Funded by:EC | MULTIJEDIEC| MULTIJEDIAuthors: Jurgens, DAVID ALAN; Pilehvar, MOHAMMED TAHER; Navigli, Roberto;Jurgens, DAVID ALAN; Pilehvar, MOHAMMED TAHER; Navigli, Roberto;handle: 11573/845288
Semantic similarity has typically been measured across items of approximately similar sizes. As a result, similarity measures have largely ignored the fact that different types of linguistic item can potentially have similar or even identical meanings, and therefore are designed to compare only one type of linguistic item. Furthermore, nearly all current similarity benchmarks within NLP contain pairs of approximately the same size, such as word or sentence pairs, preventing the evaluation of methods that are capable of comparing different sized items. To address this, we introduce a new semantic evaluation called cross-level semantic similarity (CLSS), which measures the degree to which the meaning of a larger linguistic item, such as a paragraph, is captured by a smaller item, such as a sentence. Our pilot CLSS task was presented as part of SemEval-2014, which attracted 19 teams who submitted 38 systems. CLSS data contains a rich mixture of pairs, spanning from paragraphs to word senses to fully evaluate similarity measures that are capable of comparing items of any type. Furthermore, data sources were drawn from diverse corpora beyond just newswire, including domain-specific texts and social media. We describe the annotation process and its challenges, including a comparison with crowdsourcing, and identify the factors that make the dataset a rigorous assessment of a method's quality. Furthermore, we examine in detail the systems participating in the SemEval task to identify the common factors associated with high performance and which aspects proved difficult to all systems. Our findings demonstrate that CLSS poses a significant challenge for similarity methods and provides clear directions for future work on universal similarity methods that can compare any pair of items.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2016Data sources: Archivio della ricerca- Università di Roma La SapienzaLanguage Resources and EvaluationArticle . 2015 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Average influence Average impulse Average Powered by BIP!more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2016Data sources: Archivio della ricerca- Università di Roma La SapienzaLanguage Resources and EvaluationArticle . 2015 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10579-015-9318-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Book 2020 EnglishPublisher:Oxbow Books Funded by:EC | MENTICAEC| MENTICAAuthors: Matthews, Roger; Matthews, Wendy; Rasheed Raheem, Kamal; Richardson, Amy;Matthews, Roger; Matthews, Wendy; Rasheed Raheem, Kamal; Richardson, Amy;The Eastern Fertile Crescent region of western Iran and eastern Iraq hosted major developments in the transition from hunting and gathering to more sedentary agricultural lifestyles through the Early Neolithic period, 10,000-7000 BC. Within the scope of the Central Zagros Archaeological Project, excavations have been conducted at two Early Neolithic sites in the Kurdistan region of Iraq: Bestansur and Shimshara, as well as survey in the region of the Epipalaeolithic site of Zarzi since 2012. Bestansur represents an early stage in the transition to sedentary, agricultural life, where the inhabitants pursued a biodiverse strategy of hunting, gathering, herding and cultivating, maximising the new opportunities afforded by the warmer climate of the Early Holocene. They also constructed a substantial settlement of mudbrick, including a major building with a minimum of 78 human individuals buried under its floor in association with hundreds of beads. These buildings and human remains provide new insights into social relations, mortuary practices, demography, diet, health and disease during the early stages of sedentarisation. The material culture of Bestansur and Shimshara is rich in imported items such as obsidian, carnelian and sea-shells, indicating the extent to which Early Neolithic communities were networked across the Eastern Fertile Crescent and beyond along routes that later became the Silk Roads. This volume includes final reports by a large-scale interdisciplinary team on a wealth of new data from excavations at Bestansur and Shimshara, through application of state-of-the-art scientific techniques, integrated ecological and social approaches and sustainability studies. The net result is to re-emphasise the enormous significance of the Eastern Fertile Crescent in one of the most important episodes in human history: the Neolithic transition.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4279388&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 1Kvisibility views 1,018 download downloads 797 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4279388&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 SpainPublisher:Universidad de Valladolid Funded by:EC | RESISTANCEEC| RESISTANCEAuthors: Serna Vallejo, Margarita;Serna Vallejo, Margarita;RESUMEN: Desde finales de la Baja Edad Media y a lo largo de Época Moderna, algunas de las cofradías de pescadores establecidas en el corregimiento de las Cuatro Villas de la Costa consiguieron que la Monarquía les reconociera el privilegio de disfrutar de una jurisdicción marítima en cada corporación. El establecimiento de estas jurisdicciones disgustó a otras instituciones que vieron disminuidas sus competencias jurisdiccionales. Y de esta situación surgieron distintos conflictos en los que las hermandades tuvieron que luchar por la conservación de la jurisdicción marítima. ABSTRACT: Since the end of the Late Middle Ages and throughout the Modern Era, some of the fishermen's associations established in the corregimiento of the Four Villas of the Coast managed to get the Monarchy to recognize the privilege of enjoying a maritime jurisdiction in each brotherhood. The establishment of these jurisdictions disgusted other institutions that saw their jurisdiction diminished. From this situation arose different conflicts in which the brotherhoods had to fight for the preservation of the maritime jurisdiction. Este trabajo se ha realizado en el marco del Proyecto de Investigación Culturas urbanas en la España Moderna: policía, gobernanza e imaginarios (siglos XVI-XIX) con referencia HAR2015-64014-C3-1-R, financiado por el Ministerio de Economía y Competitividad) y del europeo (Rebellion and Resistance in the Iberian Empires, 16th-19th Centuries que ha recibido financiación del programa de investigación e innovación Horizonte 2020 de la Unión Europea en virtud del acuerdo de subvención Marie Skłodowska-Curie No 778076.
Repositorio Document... arrow_drop_down Repositorio Documental de la Universidad de Valladolid; INVESTIGACIONES HISTÓRICAS ÉPOCA MODERNA Y CONTEMPORÁNEAOther literature type . Article . 2018 . Peer-reviewedLicense: CC BY NC NDINVESTIGACIONES HISTÓRICAS ÉPOCA MODERNA Y CONTEMPORÁNEAArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24197/ihemc.38.2018.49-76&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 85visibility views 85 download downloads 58 Powered bymore_vert Repositorio Document... arrow_drop_down Repositorio Documental de la Universidad de Valladolid; INVESTIGACIONES HISTÓRICAS ÉPOCA MODERNA Y CONTEMPORÁNEAOther literature type . Article . 2018 . Peer-reviewedLicense: CC BY NC NDINVESTIGACIONES HISTÓRICAS ÉPOCA MODERNA Y CONTEMPORÁNEAArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24197/ihemc.38.2018.49-76&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 ItalyPublisher:Elsevier BV Funded by:EC | SUCCESSEC| SUCCESSSimona Arrighi; Adriana Moroni; Laura Tassoni; Francesco Boschin; Federica Badino; Eugenio Bortolini; Paolo Boscato; Jacopo Crezzini; Carla Figus; Manuela Forte; Federico Lugli; Giulia Marciani; Gregorio Oxilia; Fabio Negrino; Julien Riel-Salvatore; Matteo Romandini; Marco Peresani; Enza Elena Spinapolice; Annamaria Ronchitelli; Stefano Benazzi;The arrival of Modern Humans (MHs) in Europe between 50 ka and 36 ka coincides with significant changes in human behaviour, regarding the production of tools, the exploitation of resources and the systematic use of ornaments and colouring substances. The emergence of the so-called modern behaviours is usually associated with MHs, although in these last decades findings relating to symbolic thinking of pre-Sapiens groups have been claimed. In this paper we present a synthesis of the Italian evidence concerning bone manufacturing and the use of ornaments and pigments in the time span encompassing the demise of Neandertals and their replacement by MHs. Current data show that Mousterian bone tools are mostly obtained from bone fragments used as is. Conversely an organized production of fine shaped bone tools is characteristic of the Uluzzian and the Protoaurignacian, when the complexity inherent in the manufacturing processes suggests that bone artefacts are not to be considered as expedient resources. Some traces of symbolic activities are associated to Neandertals in Northern Italy. Ornaments (mostly tusk shells) and pigments used for decorative purposes are well recorded during the Uluzzian. Their features and distribution witness to an intriguing cultural homogeneity within this technocomplex. The Protoaurignacian is characterized by a wider archaeological evidence, consisting of personal ornaments (mostly pierced gastropods), pigments and artistic items.
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Ferrara; Usiena air - Università di Siena; Archivio istituzionale della ricerca - Università di Genova; Quaternary InternationalOther literature type . Article . 2020 . 2019 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2019Data sources: arXiv.org e-Print ArchiveArchivio della ricerca- Università di Roma La SapienzaArticle . 2019Data sources: Archivio della ricerca- Università di Roma La Sapienzahttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.quaint.2019.11.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 26 citations 26 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Ferrara; Usiena air - Università di Siena; Archivio istituzionale della ricerca - Università di Genova; Quaternary InternationalOther literature type . Article . 2020 . 2019 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2019Data sources: arXiv.org e-Print ArchiveArchivio della ricerca- Università di Roma La SapienzaArticle . 2019Data sources: Archivio della ricerca- Università di Roma La Sapienzahttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.quaint.2019.11.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, ItalyPublisher:Springer Science and Business Media LLC Funded by:EC | CollectionCareEC| CollectionCareFrasca, Francesca; Verticchio, Elena; Peiró-Vitoria, Andrea; Grinde, Andreas; Bile, Alessandro; Chimenti, Claudio; Conati Barbaro, Celia; Favero, Gabriele; Fazio, Eugenio; García Diego, Fernando Juan; Siani, Anna Maria;handle: 10251/198610 , 11573/1662550
[EN] The study of the microclimate is pivotal for the protection and conservation of cultural heritage. This paper describes specifc procedures aimed at the deployment of microclimate sensors in spaces housing collections (e.g., museums) under diferent scenarios. The decision making involves a multidisciplinary discussion among museum manager, con¿ servator and conservation scientist and implies fve steps. Since the sensor¿s deployment depends on the number of available sensors, we have identifed two possible circumstances: (a) artwork-related deployment (i.e., there are as many sensors as the number of artworks) and (b) artwork-envelope-related deployment (i.e., the number of available sensors is less than the number of artworks). The former circumstance is advisable when the artwork is often moved from a museum to another one. The latter circumstance is usually the case of permanent collections, and, according to the Museum Scenario (MS), the related procedures can be further subdivided into basic (MSI and MSII) and advanced (MSIII and MSIV). Advanced procedures are preferable over basic procedures when several time series of microcli¿ mate data have been collected for at least one calendar year in several sampling points. All these procedures make it possible to design where to deploy sensors both in the case of an initial deployment and of optimisation of already installed sensors. This research was funded by the European Union's Horizon 2020 research and innovation program under grant agreement No.814624.
Archivio della ricer... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s40494-022-00831-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert Archivio della ricer... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s40494-022-00831-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2021 ItalyPublisher:Association for the Advancement of Artificial Intelligence (AAAI) Funded by:EC | ELEXIS, EC | MOUSSEEC| ELEXIS ,EC| MOUSSEAuthors: Michele Bevilacqua; Rexhina Blloshmi; Roberto Navigli;Michele Bevilacqua; Rexhina Blloshmi; Roberto Navigli;In Text-to-AMR parsing, current state-of-the-art semantic parsers use cumbersome pipelines integrating several different modules or components, and exploit graph recategorization, i.e., a set of content-specific heuristics that are developed on the basis of the training set. However, the generalizability of graph recategorization in an out-of-distribution setting is unclear. In contrast, state-of-the-art AMR-to-Text generation, which can be seen as the inverse to parsing, is based on simpler seq2seq. In this paper, we cast Text-to-AMR and AMR-to-Text as a symmetric transduction task and show that by devising a careful graph linearization and extending a pretrained encoder-decoder model, it is possible to obtain state-of-the-art performances in both tasks using the very same seq2seq approach, i.e., SPRING (Symmetric PaRsIng aNd Generation). Our model does not require complex pipelines, nor heuristics built on heavy assumptions. In fact, we drop the need for graph recategorization, showing that this technique is actually harmful outside of the standard benchmark. Finally, we outperform the previous state of the art on the English AMR 2.0 dataset by a large margin: on Text-to-AMR we obtain an improvement of 3.6 Smatch points, while on AMR-to-Text we outperform the state of the art by 11.2 BLEU points. We release the software at github.com/SapienzaNLP/spring.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La SapienzaProceedings of the AAAI Conference on Artificial IntelligenceArticle . 2021 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1609/aaai.v35i14.17489&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 24 citations 24 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 67visibility views 67 download downloads 39 Powered bymore_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La SapienzaProceedings of the AAAI Conference on Artificial IntelligenceArticle . 2021 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1609/aaai.v35i14.17489&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2016 ItalyPublisher:Elsevier BV Funded by:EC | MULTIJEDIEC| MULTIJEDISebastian Krause; Leonhard Hennig; Andrea Moro; Dirk Weissenborn; Feiyu Xu; Hans Uszkoreit; Roberto Navigli;handle: 11573/960096
Recent years have seen a significant growth and increased usage of large-scale knowledge resources in both academic research and industry. We can distinguish two main types of knowledge resources: those that store factual information about entities in the form of semantic relations (e.g., Freebase), namely so-called knowledge graphs, and those that represent general linguistic knowledge (e.g., WordNet or UWN). In this article, we present a third type of knowledge resource which completes the picture by connecting the two first types. Instances of this resource are graphs of semantically-associated relations (sar-graphs), whose purpose is to link semantic relations from factual knowledge graphs with their linguistic representations in human language. We present a general method for constructing sar-graphs using a language- and relation-independent, distantly supervised approach which, apart from generic language processing tools, relies solely on the availability of a lexical semantic resource, providing sense information for words, as well as a knowledge base containing seed relation instances. Using these seeds, our method extracts, validates and merges relation-specific linguistic patterns from text to create sar-graphs. To cope with the noisily labeled data arising in a distantly supervised setting, we propose several automatic pattern confidence estimation strategies, and also show how manual supervision can be used to improve the quality of sar-graph instances. We demonstrate the applicability of our method by constructing sar-graphs for 25 semantic relations, of which we make a subset publicly available at http://sargraph.dfki.de. We believe sar-graphs will prove to be useful linguistic resources for a wide variety of natural language processing tasks, and in particular for information extraction and knowledge base population. We illustrate their usefulness with experiments in relation extraction and in computer assisted language learning.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.3199232&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 12 citations 12 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.3199232&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 ItalyPublisher:Association for Computational Linguistics (ACL) Funded by:EC | MOUSSEEC| MOUSSEAuthors: Procopio, Luigi; Tripodi, Rocco; Navigli, Roberto;Procopio, Luigi; Tripodi, Rocco; Navigli, Roberto;handle: 11585/905220 , 11573/1605363 , 10278/5047986
Graph-based semantic parsing aims to represent textual meaning through directed graphs. As one of the most promising general-purpose meaning representations, these structures and their parsing have gained a significant interest momentum during recent years, with several diverse formalisms being proposed. Yet, owing to this very heterogeneity, most of the research effort has focused mainly on solutions specific to a given formalism. In this work, instead, we reframe semantic parsing towards multiple formalisms as Multilingual Neural Machine Translation (MNMT), and propose SGL, a many-to-many seq2seq architecture trained with an MNMT objective. Backed by several experiments, we show that this framework is indeed effective once the learning procedure is enhanced with large parallel corpora coming from Machine Translation: we report competitive performances on AMR and UCCA parsing, especially once paired with pre-trained architectures. Furthermore, we find that models trained under this configuration scale remarkably well to tasks such as cross-lingual AMR parsing: SGL outperforms all its competitors by a large margin without even explicitly seeing non-English to AMR examples at training time and, once these examples are included as well, sets an unprecedented state of the art in this task. We release our code and our models for research purposes at https://github.com/SapienzaNLP/sgl.
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' Foscari; Archivio della ricerca- Università di Roma La Sapienza; Archivio istituzionale della ricerca - Alma Mater Studiorum Università di BolognaOther literature type . Conference object . 2021 . Peer-reviewedArchivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18653/v1/2021.naacl-main.30&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' Foscari; Archivio della ricerca- Università di Roma La Sapienza; Archivio istituzionale della ricerca - Alma Mater Studiorum Università di BolognaOther literature type . Conference object . 2021 . Peer-reviewedArchivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18653/v1/2021.naacl-main.30&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Book 2021 Netherlands Funded by:EC | K-PLEXEC| K-PLEXAuthors: Edmond, Jennifer; Horsley, Nicola; Lehmann, Jörg; Priddy, Mike;Edmond, Jennifer; Horsley, Nicola; Lehmann, Jörg; Priddy, Mike;This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission.This book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focussing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5040/9781350239654&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5040/9781350239654&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Contribution for newspaper or weekly magazine , Preprint , Conference object , Article 2016 United KingdomPublisher:ISCA Funded by:EC | SUMMAEC| SUMMAAhmed Ali; Najim Dehak; Patrick Cardinal; Sameer Khurana; Sree Harsha Yella; James Glass; Peter Bell; Steve Renals;In this paper, we investigate different approaches for dialect identification in Arabic broadcast speech. These methods are based on phonetic and lexical features obtained from a speech recognition system, and bottleneck features using the i-vector framework. We studied both generative and discriminative classifiers, and we combined these features using a multi-class Support Vector Machine (SVM). We validated our results on an Arabic/English language identification task, with an accuracy of 100%. We also evaluated these features in a binary classifier to discriminate between Modern Standard Arabic (MSA) and Dialectal Arabic, with an accuracy of 100%. We further reported results using the proposed methods to discriminate between the five most widely used dialects of Arabic: namely Egyptian, Gulf, Levantine, North African, and MSA, with an accuracy of 59.2%. We discuss dialect identification errors in the context of dialect code-switching between Dialectal Arabic and MSA, and compare the error pattern between manually labeled data, and the output from our classifier. All the data used on our experiments have been released to the public as a language identification corpus.
Edinburgh Research E... arrow_drop_down Edinburgh Research ExplorerContribution for newspaper or weekly magazine . 2016Data sources: Edinburgh Research ExplorerarXiv.org e-Print ArchiveOther literature type . Preprint . 2015Data sources: arXiv.org e-Print Archivehttps://doi.org/10.21437/Inter...Other literature type . Conference object . 2016Data sources: European Union Open Data Portalhttps://doi.org/10.21437/inter...Conference object . 2016 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21437/interspeech.2016-1297&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 47 citations 47 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!more_vert Edinburgh Research E... arrow_drop_down Edinburgh Research ExplorerContribution for newspaper or weekly magazine . 2016Data sources: Edinburgh Research ExplorerarXiv.org e-Print ArchiveOther literature type . Preprint . 2015Data sources: arXiv.org e-Print Archivehttps://doi.org/10.21437/Inter...Other literature type . Conference object . 2016Data sources: European Union Open Data Portalhttps://doi.org/10.21437/inter...Conference object . 2016 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21437/interspeech.2016-1297&type=result"></script>'); --> </script>
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