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213,101 Research products, page 1 of 21,311

  • Digital Humanities and Cultural Heritage
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  • Open Access English
    Authors: 
    Artemis Papatheodorou;
    Publisher: Suna ve İnan Kıraç Vakfı Kültür ve Sanat İşletmesi

    "… the Turks, public servants or soldiers, remained in sum what they’ve always been, Barbarians making a life out of plunder and robbery..." The above statement reveals how one of the finest institutions of Ottoman Greek letters and sciences, the Hellenic Literary Society at Constantinople, described the Turks in a petition to its honorary members, academics, university professors, and learned societies in the Allied countries and in those that had remained neutral during the Great War, just a month into the deliberations of the Paris Peace Conference in 1919. The picture of the Turk as a barbarian permeates the petition and juxtaposes that of the Greek as the bearer of civilization. In this way, the society attempted to elicit the support of Western intellectuals in favor of Greek irredentism. Such an approach was not unique to the Ottoman Greeks, as Armenians also employed a similar distinction between the Turks and themselves to enhance their national aspirations.2 Yet, such a snapshot of the society in the post-Armistice period can be misleading as to its sixty-odd year-long lifetime. The society had remained, for the most part, in favor of Ottomanism, and its endorsement of Greek irredentism tells us more about how and why multi-ethnic and multi-cultural empires can fail rather than providing an accurate depiction of the society throughout its existence.

  • Publication . Part of book or chapter of book . 2022
    Open Access English
    Authors: 
    Sverker Sörlin; Brigt Dale; Arn Keeling; Joan Nymand Larsen;
    Publisher: KTH, Historiska studier av teknik, vetenskap och miljö
    Country: Sweden

    Extractivism has been predominant in the Arctic since whaling and sealing campaigns began in the sixteenth century, followed by mining and drilling for oil and gas. In this chapter we present some of the main features of this ‘extractivist history’ of the circumpolar region. We organize this development along a set of themes. First, we explore the extractive frame of mind in Western thought and how it has continued to shape visions of the region. Second, we explore the material and social impacts of historical extractivism. Third, we use the theoretical lens of colonialism and decolonialism to understand the social and political relations, especially with aboriginal populations. Fourth, we examine the, often fraught, recent and contemporary debates around contemporary and future extractivism and its implications for the Arctic. The historical overview serves the purpose of providing a legible pattern from what is also a range of diverse and rich variations. A key finding is that extractivism is a lasting legacy and a path dependency of the region. At the same time resource extraction has many problematic sides that the seeking of new Arctic futures will have to deal with. QC 20221215Chapter in book: ISBN 978-1-009-10023-6

  • Open Access English
    Authors: 
    Şûra TEKİN;
    Publisher: İstanbul 29 Mayıs Üniversitesi

    This volume -the tenth book of a series on the cultural transfers between the Ottoman Empire and Europe with a focus on the performing arts- edited by Holm and Rasmussen begins with an informative and insightful introductory “Kaleidoscoscopic Reflections” that will undoubtedly increase the familiarity of readers for the topic. Editors explain their aims for this volume over the approaches, interpretations, and the discussions held during the sessions introduced by Professor İlber Ortaylı and supported by the C. L. David Foundation and Collection. This study as the editors mentioned took its main outset from the series of seminars titled “The Image of the Turks in Early Modern Europe” at Copenhagen University.

  • Publication . Part of book or chapter of book . 2022
    Open Access English
    Authors: 
    Sverker Sörlin;
    Publisher: KTH, Historiska studier av teknik, vetenskap och miljö
    Country: Sweden

    Part of book: ISBN 978-1-009-10023-6QC 20221219

  • Open Access English
    Authors: 
    Paulius Danenas; Tomas Skersys;
    Country: Lithuania

    In this paper, we explore the possibility to apply natural language processing in visual modelto- model (M2M) transformations. Therefore, we present our research results on information extraction from text labels in process models modeled using Business Process Modeling Notation (BPMN) and use case models depicted in Unied Modeling Language (UML) using the most recent developments in natural language processing (NLP). Here, we focus on three relevant tasks, namely, the extraction of verb/noun phrases that would be used to form relations, parsing of conjunctive/disjunctive statements, and the detection of abbreviations and acronyms. Techniques combining state-of-the-art NLP language models with formal regular expressions grammar-based structure detection were implemented to solve relation extraction task. To achieve these goals, we benchmark the most recent state-of-the-art NLP tools (CoreNLP, Stanford Stanza, Flair, Spacy, AllenNLP, BERT, ELECTRA), as well as custom BERT-BiLSTM-CRF and ELMo- BiLSTM-CRF implementations, trained with certain data augmentations to improve performance on the most ambiguous cases; these tools are further used to extract noun and verb phrases from short text labels generally used in UML and BPMN models. Furthermore, we describe our attempts to improve these extractors by solving the abbreviation/acronym detection problem using machine learning-based detection, as well as process conjunctive and disjunctive statements, due to their relevance to performing advanced text normalization. The obtained results showthat the best phrase extraction and conjunctive phrase processing performance was obtained using Stanza based implementation, yet, our trained BERT-BiLSTMCRF outperformed it for the verb phrase detection task. While thisworkwas inspired by our ongoing research on partial model-to-model transformations, we believe it to be applicable in other areas requiring similar text processing capabilities as well.

  • Publication . Article . 2022
    English
    Authors: 
    Rauzy, Stéphane; de Montcheuil, Grégoire; Blache, Philippe;
    Publisher: HAL CCSD
    Country: France

    International audience; MarsaTag is a system aiming at segmenting, tagging and chunking French input. The originality of the tool, on top of its efficiency, is its ability to process written texts as well as speech transcriptions. The tagger executes the three following operations. First, a rule-based tokenizer splits the raw textual input in a sequence of tokens. In a second step, thanks to a broad-coverage morphosyntactic lexicon, each token form is associated to a tag distribution. The last step consists in disambiguating the tagging by selecting the POS tag sequence with the highest probability. The probability of a sequence of tags is computed thanks to a stochastic model using the Hidden Markov Model machinery. The states or patterns of our model are extracted from the GraceLPL resource (700,000 tokens with morphosyntactic annotation). The performance of the tagger reaches an F-measure score of 0.974 for written material. The tagger has been adapted for the treatment of spontaneous speech transcriptions (see the chapter « Annotations » of the LPL book). The system has been trained with a large spoken French corpus (CID, see Bertrand et al., 2008). Phenomena proper to speech (filled paused, disfluencies, truncation, etc.) were identified and included in a model specific to speech transcription inputs. The tagger performance of 0.948 (F-measure) has been evaluated on the manual corrected tags of the CID corpus. MarsaTag is freely distributed with a software interface allowing the choice of various input and output formats (url : https://www.ortolang.fr/​market/​tools/​sldr000841).; MarsaTag est un système qui permet de segmenter, d’étiqueter et d’analyser en chunks des productions du français. L’originalité de l’outil réside dans sa capacité à traiter autant du français écrit que de des transcriptions du français parlé. L’étiqueteur effectue les trois opérations suivantes. Un segmenteur à base de règles est d’abord appliqué au texte en entrée afin de le séparer en une séquence de tokens. Dans un deuxième temps, grâce à un lexique morphosyntaxique de large couverture, le système associe à chaque forme orthographique identifiant le token sa distribution de catégories morphosyntaxiques correspondantes. La dernière étape consiste à désambiguïser l’étiquetage en proposant en sortie la séquence d’étiquettes possédant la probabilité maximale. La probabilité d’une séquence est calculée à partir d’un modèle stochastique dans le cadre du formalisme de Chaines de Markov Cachées (HMM). Les états ou « patrons » du modèle ont été extrait de la ressource GraceLPL (700 000 tokens avec un étiquetage morphosyntaxique). La performance de l’étiqueteur atteint un score de F-mesure de 0.974. L’étiqueteur a été adapté pour traiter les transcriptions du français parlé (voir le chapitre « Annotations » du livre du LPL). Le système a été entraîné sur le CID (Bertrand et al., 2008), un grand corpus français de parole spontanée en interaction. Les phénomènes propres à l’oral (pause remplies, disfluences, troncations,…) ont été identifiés et inclus dans le modèle spécifique au traitement des transcriptions en entrée. La performance de l’étiqueteur pour l’oral (0.948 de F-mesure) a été évalué sur la correction manuelle des étiquettes morphosyntaxiques du CID. Le logiciel MarsaTag est distribué librement avec une interface graphique qui permet un vaste choix de format d’entrée sortie ((url : https://www.ortolang.fr/​market/​tools/​sldr000841).

  • Publication . Preprint . Article . 2022
    Open Access English
    Authors: 
    Pelger, Markus; Zou, Jiacheng;

    This paper proposes a novel testing procedure for selecting a sparse set of covariates that explains a large dimensional panel. Our selection method provides correct false detection control while having higher power than existing approaches. We develop the inferential theory for large panels with many covariates by combining post-selection inference with a novel multiple testing adjustment. Our data-driven hypotheses are conditional on the sparse covariate selection. We control for family-wise error rates for covariate discovery for large cross-sections. As an easy-to-use and practically relevant procedure, we propose Panel-PoSI, which combines the data-driven adjustment for panel multiple testing with valid post-selection p-values of a generalized LASSO, that allows us to incorporate priors. In an empirical study, we select a small number of asset pricing factors that explain a large cross-section of investment strategies. Our method dominates the benchmarks out-of-sample due to its better size and power.

  • Open Access English
    Authors: 
    Cody Mejeur;
    Publisher: Suomen Queer-tutkimuksen Seura - Society of Queer Studies in Finland
  • Open Access English
    Authors: 
    Oumaïma Jaïdane;
    Publisher: Suna ve İnan Kıraç Vakfı Kültür ve Sanat İşletmesi

    Review of Avner Wishnitzer, As Night Falls: Eighteenth-Century Ottoman Cities after Dark. New York: Cambridge University Press, 2021. xiii + 376 pages, 8 figures. ISBN: 978110883214

  • Open Access English
    Authors: 
    Mulkan Habibi; Nani Nurani Muksin; Donny Kurniawan; Adetya Perdanaraya;
    Publisher: Institut Agama Islam Negeri (IAIN) Manado

    Penggunaan media sosial sebagai media komunikasi politik bagi kepala daerah sangat penting, karena media sosial memiliki jangkauan yang meliputi skala khalayak kecil dan khalayak global. Media sosial relatif lebih mudah digunakan karena tidak memerlukan keterampilan dan pelatihan khusus. Gubernur DKI Jakarta Anies Baswedan, Gubernur Jawa Barat Ridwan Kamil dan Gubernur Jawa Tengah Ganjar Pranowo saat ini cukup aktif menggunakan media sosial facebook. Hal tersebut dapat dilihat dari keaktifan membagikan pesan komunikasi politik pada postingan akun facebook. Penelitian ini bertujuan untuk menganalisis pesan komunikasi politik yang dimunculkan dan gaya komunikasi politik ketiga kepala daerah pada postingan akun facebook masing-masing. Metode penelitian menggunakan pendekatan kualitatif tipe deskriptif dengan metode analisis isi. Analisis ini untuk membuat generalisasi dari pesan dan memberikan gambaran umum karakteristik dari suatu isi atau pesan. Hasil penelitian menyimpulkan bahwa ketiga kepala daerah ini sangat aktif menggunakan media sosial facebook, terdapat 2 hingga 3 kali postingan yang dibagikan setiap hari nya. Pesan yang dibagikan diantaranya, kebijakan daerah, fasilitas publik milik daerah, aktifitas bersama dengan tokoh politik dalam dan luar negeri. Masing-masing kepala daerah memiliki gaya komunikasi politik yang berbeda, Anies Baswedan memiliki Bahasa yang formal dengan narasi yang panjang, Ridwan Kamil menggunakan gaya bahasa non formal dan disertai dengan campuran bahasa khas sunda dan bahasa pantun serta video yang menghibur. Ganjar Pranowo memiliki gaya komunikasi politik yang khas bahasa masyarakat Jawa dengan narasi yang sederhana dan singkat, namun aktifitas Ganjar Pranowo dikemas dengan video yang diedit dengan durasi yang singkat, lucu, menghibur dan terlihat ada kebersamaan dan hiburan yang dimunculkan.

Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
213,101 Research products, page 1 of 21,311
  • Open Access English
    Authors: 
    Artemis Papatheodorou;
    Publisher: Suna ve İnan Kıraç Vakfı Kültür ve Sanat İşletmesi

    "… the Turks, public servants or soldiers, remained in sum what they’ve always been, Barbarians making a life out of plunder and robbery..." The above statement reveals how one of the finest institutions of Ottoman Greek letters and sciences, the Hellenic Literary Society at Constantinople, described the Turks in a petition to its honorary members, academics, university professors, and learned societies in the Allied countries and in those that had remained neutral during the Great War, just a month into the deliberations of the Paris Peace Conference in 1919. The picture of the Turk as a barbarian permeates the petition and juxtaposes that of the Greek as the bearer of civilization. In this way, the society attempted to elicit the support of Western intellectuals in favor of Greek irredentism. Such an approach was not unique to the Ottoman Greeks, as Armenians also employed a similar distinction between the Turks and themselves to enhance their national aspirations.2 Yet, such a snapshot of the society in the post-Armistice period can be misleading as to its sixty-odd year-long lifetime. The society had remained, for the most part, in favor of Ottomanism, and its endorsement of Greek irredentism tells us more about how and why multi-ethnic and multi-cultural empires can fail rather than providing an accurate depiction of the society throughout its existence.

  • Publication . Part of book or chapter of book . 2022
    Open Access English
    Authors: 
    Sverker Sörlin; Brigt Dale; Arn Keeling; Joan Nymand Larsen;
    Publisher: KTH, Historiska studier av teknik, vetenskap och miljö
    Country: Sweden

    Extractivism has been predominant in the Arctic since whaling and sealing campaigns began in the sixteenth century, followed by mining and drilling for oil and gas. In this chapter we present some of the main features of this ‘extractivist history’ of the circumpolar region. We organize this development along a set of themes. First, we explore the extractive frame of mind in Western thought and how it has continued to shape visions of the region. Second, we explore the material and social impacts of historical extractivism. Third, we use the theoretical lens of colonialism and decolonialism to understand the social and political relations, especially with aboriginal populations. Fourth, we examine the, often fraught, recent and contemporary debates around contemporary and future extractivism and its implications for the Arctic. The historical overview serves the purpose of providing a legible pattern from what is also a range of diverse and rich variations. A key finding is that extractivism is a lasting legacy and a path dependency of the region. At the same time resource extraction has many problematic sides that the seeking of new Arctic futures will have to deal with. QC 20221215Chapter in book: ISBN 978-1-009-10023-6

  • Open Access English
    Authors: 
    Şûra TEKİN;
    Publisher: İstanbul 29 Mayıs Üniversitesi

    This volume -the tenth book of a series on the cultural transfers between the Ottoman Empire and Europe with a focus on the performing arts- edited by Holm and Rasmussen begins with an informative and insightful introductory “Kaleidoscoscopic Reflections” that will undoubtedly increase the familiarity of readers for the topic. Editors explain their aims for this volume over the approaches, interpretations, and the discussions held during the sessions introduced by Professor İlber Ortaylı and supported by the C. L. David Foundation and Collection. This study as the editors mentioned took its main outset from the series of seminars titled “The Image of the Turks in Early Modern Europe” at Copenhagen University.

  • Publication . Part of book or chapter of book . 2022
    Open Access English
    Authors: 
    Sverker Sörlin;
    Publisher: KTH, Historiska studier av teknik, vetenskap och miljö
    Country: Sweden

    Part of book: ISBN 978-1-009-10023-6QC 20221219

  • Open Access English
    Authors: 
    Paulius Danenas; Tomas Skersys;
    Country: Lithuania

    In this paper, we explore the possibility to apply natural language processing in visual modelto- model (M2M) transformations. Therefore, we present our research results on information extraction from text labels in process models modeled using Business Process Modeling Notation (BPMN) and use case models depicted in Unied Modeling Language (UML) using the most recent developments in natural language processing (NLP). Here, we focus on three relevant tasks, namely, the extraction of verb/noun phrases that would be used to form relations, parsing of conjunctive/disjunctive statements, and the detection of abbreviations and acronyms. Techniques combining state-of-the-art NLP language models with formal regular expressions grammar-based structure detection were implemented to solve relation extraction task. To achieve these goals, we benchmark the most recent state-of-the-art NLP tools (CoreNLP, Stanford Stanza, Flair, Spacy, AllenNLP, BERT, ELECTRA), as well as custom BERT-BiLSTM-CRF and ELMo- BiLSTM-CRF implementations, trained with certain data augmentations to improve performance on the most ambiguous cases; these tools are further used to extract noun and verb phrases from short text labels generally used in UML and BPMN models. Furthermore, we describe our attempts to improve these extractors by solving the abbreviation/acronym detection problem using machine learning-based detection, as well as process conjunctive and disjunctive statements, due to their relevance to performing advanced text normalization. The obtained results showthat the best phrase extraction and conjunctive phrase processing performance was obtained using Stanza based implementation, yet, our trained BERT-BiLSTMCRF outperformed it for the verb phrase detection task. While thisworkwas inspired by our ongoing research on partial model-to-model transformations, we believe it to be applicable in other areas requiring similar text processing capabilities as well.

  • Publication . Article . 2022
    English
    Authors: 
    Rauzy, Stéphane; de Montcheuil, Grégoire; Blache, Philippe;
    Publisher: HAL CCSD
    Country: France

    International audience; MarsaTag is a system aiming at segmenting, tagging and chunking French input. The originality of the tool, on top of its efficiency, is its ability to process written texts as well as speech transcriptions. The tagger executes the three following operations. First, a rule-based tokenizer splits the raw textual input in a sequence of tokens. In a second step, thanks to a broad-coverage morphosyntactic lexicon, each token form is associated to a tag distribution. The last step consists in disambiguating the tagging by selecting the POS tag sequence with the highest probability. The probability of a sequence of tags is computed thanks to a stochastic model using the Hidden Markov Model machinery. The states or patterns of our model are extracted from the GraceLPL resource (700,000 tokens with morphosyntactic annotation). The performance of the tagger reaches an F-measure score of 0.974 for written material. The tagger has been adapted for the treatment of spontaneous speech transcriptions (see the chapter « Annotations » of the LPL book). The system has been trained with a large spoken French corpus (CID, see Bertrand et al., 2008). Phenomena proper to speech (filled paused, disfluencies, truncation, etc.) were identified and included in a model specific to speech transcription inputs. The tagger performance of 0.948 (F-measure) has been evaluated on the manual corrected tags of the CID corpus. MarsaTag is freely distributed with a software interface allowing the choice of various input and output formats (url : https://www.ortolang.fr/​market/​tools/​sldr000841).; MarsaTag est un système qui permet de segmenter, d’étiqueter et d’analyser en chunks des productions du français. L’originalité de l’outil réside dans sa capacité à traiter autant du français écrit que de des transcriptions du français parlé. L’étiqueteur effectue les trois opérations suivantes. Un segmenteur à base de règles est d’abord appliqué au texte en entrée afin de le séparer en une séquence de tokens. Dans un deuxième temps, grâce à un lexique morphosyntaxique de large couverture, le système associe à chaque forme orthographique identifiant le token sa distribution de catégories morphosyntaxiques correspondantes. La dernière étape consiste à désambiguïser l’étiquetage en proposant en sortie la séquence d’étiquettes possédant la probabilité maximale. La probabilité d’une séquence est calculée à partir d’un modèle stochastique dans le cadre du formalisme de Chaines de Markov Cachées (HMM). Les états ou « patrons » du modèle ont été extrait de la ressource GraceLPL (700 000 tokens avec un étiquetage morphosyntaxique). La performance de l’étiqueteur atteint un score de F-mesure de 0.974. L’étiqueteur a été adapté pour traiter les transcriptions du français parlé (voir le chapitre « Annotations » du livre du LPL). Le système a été entraîné sur le CID (Bertrand et al., 2008), un grand corpus français de parole spontanée en interaction. Les phénomènes propres à l’oral (pause remplies, disfluences, troncations,…) ont été identifiés et inclus dans le modèle spécifique au traitement des transcriptions en entrée. La performance de l’étiqueteur pour l’oral (0.948 de F-mesure) a été évalué sur la correction manuelle des étiquettes morphosyntaxiques du CID. Le logiciel MarsaTag est distribué librement avec une interface graphique qui permet un vaste choix de format d’entrée sortie ((url : https://www.ortolang.fr/​market/​tools/​sldr000841).

  • Publication . Preprint . Article . 2022
    Open Access English
    Authors: 
    Pelger, Markus; Zou, Jiacheng;

    This paper proposes a novel testing procedure for selecting a sparse set of covariates that explains a large dimensional panel. Our selection method provides correct false detection control while having higher power than existing approaches. We develop the inferential theory for large panels with many covariates by combining post-selection inference with a novel multiple testing adjustment. Our data-driven hypotheses are conditional on the sparse covariate selection. We control for family-wise error rates for covariate discovery for large cross-sections. As an easy-to-use and practically relevant procedure, we propose Panel-PoSI, which combines the data-driven adjustment for panel multiple testing with valid post-selection p-values of a generalized LASSO, that allows us to incorporate priors. In an empirical study, we select a small number of asset pricing factors that explain a large cross-section of investment strategies. Our method dominates the benchmarks out-of-sample due to its better size and power.

  • Open Access English
    Authors: 
    Cody Mejeur;
    Publisher: Suomen Queer-tutkimuksen Seura - Society of Queer Studies in Finland
  • Open Access English
    Authors: 
    Oumaïma Jaïdane;
    Publisher: Suna ve İnan Kıraç Vakfı Kültür ve Sanat İşletmesi

    Review of Avner Wishnitzer, As Night Falls: Eighteenth-Century Ottoman Cities after Dark. New York: Cambridge University Press, 2021. xiii + 376 pages, 8 figures. ISBN: 978110883214

  • Open Access English
    Authors: 
    Mulkan Habibi; Nani Nurani Muksin; Donny Kurniawan; Adetya Perdanaraya;
    Publisher: Institut Agama Islam Negeri (IAIN) Manado

    Penggunaan media sosial sebagai media komunikasi politik bagi kepala daerah sangat penting, karena media sosial memiliki jangkauan yang meliputi skala khalayak kecil dan khalayak global. Media sosial relatif lebih mudah digunakan karena tidak memerlukan keterampilan dan pelatihan khusus. Gubernur DKI Jakarta Anies Baswedan, Gubernur Jawa Barat Ridwan Kamil dan Gubernur Jawa Tengah Ganjar Pranowo saat ini cukup aktif menggunakan media sosial facebook. Hal tersebut dapat dilihat dari keaktifan membagikan pesan komunikasi politik pada postingan akun facebook. Penelitian ini bertujuan untuk menganalisis pesan komunikasi politik yang dimunculkan dan gaya komunikasi politik ketiga kepala daerah pada postingan akun facebook masing-masing. Metode penelitian menggunakan pendekatan kualitatif tipe deskriptif dengan metode analisis isi. Analisis ini untuk membuat generalisasi dari pesan dan memberikan gambaran umum karakteristik dari suatu isi atau pesan. Hasil penelitian menyimpulkan bahwa ketiga kepala daerah ini sangat aktif menggunakan media sosial facebook, terdapat 2 hingga 3 kali postingan yang dibagikan setiap hari nya. Pesan yang dibagikan diantaranya, kebijakan daerah, fasilitas publik milik daerah, aktifitas bersama dengan tokoh politik dalam dan luar negeri. Masing-masing kepala daerah memiliki gaya komunikasi politik yang berbeda, Anies Baswedan memiliki Bahasa yang formal dengan narasi yang panjang, Ridwan Kamil menggunakan gaya bahasa non formal dan disertai dengan campuran bahasa khas sunda dan bahasa pantun serta video yang menghibur. Ganjar Pranowo memiliki gaya komunikasi politik yang khas bahasa masyarakat Jawa dengan narasi yang sederhana dan singkat, namun aktifitas Ganjar Pranowo dikemas dengan video yang diedit dengan durasi yang singkat, lucu, menghibur dan terlihat ada kebersamaan dan hiburan yang dimunculkan.