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Research data keyboard_double_arrow_right Dataset 2022 GermanPublisher:TU Darmstadt Lee, Ji-Ung; Gurevych, Iryna; Stangier, Lorenz; Wang, Yuxi; Müller, Marvin; Frick, Nicholas; Metternich, Joachim;Dataset collected and annotated in the project TexPrax
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Audiovisual , Dataset 2022Embargo end date: 05 Jul 2022Publisher:Underline Science Inc. Authors: Dycke, Nils; Kuznetsov, Ilia; Gurevych, Iryna; TU Darmstadt;Dycke, Nils; Kuznetsov, Ilia; Gurevych, Iryna; TU Darmstadt;Peer review constitutes a core component of scholarly publishing; yet it demands substantial expertise and training, and is susceptible to errors and biases. Various applications of NLP for peer reviewing assistance aim to support reviewers in this complex process, but the lack of clearly licensed datasets and multi-domain corpora prevent the systematic study of NLP for peer review. To remedy this, we introduce NLPeer-- the first ethically sourced multidomain corpus of more than 5k papers and 11k review reports from five different venues. In addition to the new datasets of paper drafts, camera-ready versions and peer reviews from the NLP community, we establish a unified data representation and augment previous peer review datasets to include parsed and structured paper representations, rich metadata and versioning information. We complement our resource with implementations and analysis of three reviewing assistance tasks, including a novel guided skimming task.Our work paves the path towards systematic, multi-faceted, evidence-based study of peer review in NLP and beyond. The data and code are publicly available.
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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=10.48448/23bn-zp26&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 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=10.48448/23bn-zp26&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Embargo end date: 08 Mar 2021 EnglishPublisher:Technical University of Darmstadt Ahlers, Steffen; Henk, Andreas; Hergert, Tobias; Reiter, Karsten; Müller, Birgit; Röckel, Luisa; Heidbach, Oliver; Morawietz, Sophia; Scheck-Wenderoth, Magdalena; Anikiev, Denis; TU Darmstadt;The dataset contains the complete stress tensor for each node of the 3D geomechanical model of Germany. A detailed description can be found in: Ahlers, S., Henk, A., Hergert, T., Reiter, K., Müller, B., Röckel, L., Heidbach, O., Morawietz, S., Scheck-Wenderoth, M., and Anikiev, D.: 3D crustal stress state of Germany according to a data-calibrated geomechanical model, Solid Earth, 12, 1777–1799, https://doi.org/10.5194/se-12-1777-2021, 2021.
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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=10.48328/tudatalib-437&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 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.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPublisher:TU Darmstadt Yang, Gao; Eger, Steffen; Kuznetsov, Ilia; Gurevych, Iryna; Miyao, Yusuke;This dataset contains the evaluation scores and metadata collected during the peer reviewing campaign at the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18, https://acl2018.org). For further details, see README.txt.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert 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=r3730f562f9e::81c9f0dfc6fd9758054d355ad6df6e30&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017 GermanPublisher:TU Darmstadt Authors: Benikova, Darina; Mieskes, Margot; Meyer, Christian M.; Gurevych, Iryna;Benikova, Darina; Mieskes, Margot; Meyer, Christian M.; Gurevych, Iryna;The DBS corpus contains 93 multi-document summaries for 293 German documents about 30 education-related topics. We sampled the topics from the Deutscher Bildungsserver (DBS) webpage and crawled the documents linked there. The documents are highly heterogeneous in terms of text type, genre, and style. The multi-document summaries are the result of a seven step annotation process yielding coherent extracts – a novel type of summary that is based on phrases extracted from the original documents that have been ordered and minimally redacted to form a well-readable, coherent text. The data of all intermediate steps is part of the repository to allow for extensive system evaluation. If you use the corpus in academic works, please cite our COLING paper.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert 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=r3730f562f9e::026f5bf92c85d1c2952a26d1bbc9bc7c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:TU Darmstadt Authors: Hartmann, Silvana; Eckle-Kohler, Judith; Gurevych, Iryna;Hartmann, Silvana; Eckle-Kohler, Judith; Gurevych, Iryna;* Automatically frame- and role-labeled WaSR-corpora for English (WaSR_L_v1 and WaSR_XL_v1) WaSR-en-part 1 WaSR-en_part 2 WaSR_en_part 3 * Automatically frame- and role-labeled WaSR-corpora for German WaSR-de_v1.tar.bz2 * Rule-based Semantic Role Labeling on github
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert 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=r3dd850814f1::70eff89c6d1ac080ee419be06bf0d152&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2010 EnglishPublisher:TU Darmstadt Authors: Szarvas, György; Gurevych, Iryna; Zesch, Torsten;Szarvas, György; Gurevych, Iryna; Zesch, Torsten;Semantic relatedness data
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=r3dd850814f1::d8583f8e91c8c1b43d2dde7523393595&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2005 GermanPublisher:TU Darmstadt Authors: Gurevych, Iryna;Gurevych, Iryna;The datasets on this page were obtained by asking human subjects to assign a similarity or relatedness judgment to a number of German word pairs. The datasets have been used to test the performance of semantic similarity/relatedness measures. All subjects in our experiments were native speakers of German. A judgment of 0 means “fully unsimilar/unrelated”, while a score of 4 means “fully similar/related”. In the comma-separated dataset files, each word pair is on a single line followed by the mean judgment score and the standard deviation.
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Research data keyboard_double_arrow_right Dataset 2022 GermanPublisher:TU Darmstadt Lee, Ji-Ung; Gurevych, Iryna; Stangier, Lorenz; Wang, Yuxi; Müller, Marvin; Frick, Nicholas; Metternich, Joachim;Dataset collected and annotated in the project TexPrax
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=r3730f562f9e::3f7eb29d24289a081ea142056e2a339a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert 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=r3730f562f9e::3f7eb29d24289a081ea142056e2a339a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Audiovisual , Dataset 2022Embargo end date: 05 Jul 2022Publisher:Underline Science Inc. Authors: Dycke, Nils; Kuznetsov, Ilia; Gurevych, Iryna; TU Darmstadt;Dycke, Nils; Kuznetsov, Ilia; Gurevych, Iryna; TU Darmstadt;Peer review constitutes a core component of scholarly publishing; yet it demands substantial expertise and training, and is susceptible to errors and biases. Various applications of NLP for peer reviewing assistance aim to support reviewers in this complex process, but the lack of clearly licensed datasets and multi-domain corpora prevent the systematic study of NLP for peer review. To remedy this, we introduce NLPeer-- the first ethically sourced multidomain corpus of more than 5k papers and 11k review reports from five different venues. In addition to the new datasets of paper drafts, camera-ready versions and peer reviews from the NLP community, we establish a unified data representation and augment previous peer review datasets to include parsed and structured paper representations, rich metadata and versioning information. We complement our resource with implementations and analysis of three reviewing assistance tasks, including a novel guided skimming task.Our work paves the path towards systematic, multi-faceted, evidence-based study of peer review in NLP and beyond. The data and code are publicly available.
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=10.48448/23bn-zp26&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 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=10.48448/23bn-zp26&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Embargo end date: 08 Mar 2021 EnglishPublisher:Technical University of Darmstadt Ahlers, Steffen; Henk, Andreas; Hergert, Tobias; Reiter, Karsten; Müller, Birgit; Röckel, Luisa; Heidbach, Oliver; Morawietz, Sophia; Scheck-Wenderoth, Magdalena; Anikiev, Denis; TU Darmstadt;The dataset contains the complete stress tensor for each node of the 3D geomechanical model of Germany. A detailed description can be found in: Ahlers, S., Henk, A., Hergert, T., Reiter, K., Müller, B., Röckel, L., Heidbach, O., Morawietz, S., Scheck-Wenderoth, M., and Anikiev, D.: 3D crustal stress state of Germany according to a data-calibrated geomechanical model, Solid Earth, 12, 1777–1799, https://doi.org/10.5194/se-12-1777-2021, 2021.
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=10.48328/tudatalib-437&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 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=10.48328/tudatalib-437&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPublisher:TU Darmstadt Yang, Gao; Eger, Steffen; Kuznetsov, Ilia; Gurevych, Iryna; Miyao, Yusuke;This dataset contains the evaluation scores and metadata collected during the peer reviewing campaign at the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18, https://acl2018.org). For further details, see README.txt.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert 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=r3730f562f9e::81c9f0dfc6fd9758054d355ad6df6e30&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017 GermanPublisher:TU Darmstadt Authors: Benikova, Darina; Mieskes, Margot; Meyer, Christian M.; Gurevych, Iryna;Benikova, Darina; Mieskes, Margot; Meyer, Christian M.; Gurevych, Iryna;The DBS corpus contains 93 multi-document summaries for 293 German documents about 30 education-related topics. We sampled the topics from the Deutscher Bildungsserver (DBS) webpage and crawled the documents linked there. The documents are highly heterogeneous in terms of text type, genre, and style. The multi-document summaries are the result of a seven step annotation process yielding coherent extracts – a novel type of summary that is based on phrases extracted from the original documents that have been ordered and minimally redacted to form a well-readable, coherent text. The data of all intermediate steps is part of the repository to allow for extensive system evaluation. If you use the corpus in academic works, please cite our COLING paper.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:TU Darmstadt Authors: Hartmann, Silvana; Eckle-Kohler, Judith; Gurevych, Iryna;Hartmann, Silvana; Eckle-Kohler, Judith; Gurevych, Iryna;* Automatically frame- and role-labeled WaSR-corpora for English (WaSR_L_v1 and WaSR_XL_v1) WaSR-en-part 1 WaSR-en_part 2 WaSR_en_part 3 * Automatically frame- and role-labeled WaSR-corpora for German WaSR-de_v1.tar.bz2 * Rule-based Semantic Role Labeling on github
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2010 EnglishPublisher:TU Darmstadt Authors: Szarvas, György; Gurevych, Iryna; Zesch, Torsten;Szarvas, György; Gurevych, Iryna; Zesch, Torsten;Semantic relatedness data
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2005 GermanPublisher:TU Darmstadt Authors: Gurevych, Iryna;Gurevych, Iryna;The datasets on this page were obtained by asking human subjects to assign a similarity or relatedness judgment to a number of German word pairs. The datasets have been used to test the performance of semantic similarity/relatedness measures. All subjects in our experiments were native speakers of German. A judgment of 0 means “fully unsimilar/unrelated”, while a score of 4 means “fully similar/related”. In the comma-separated dataset files, each word pair is on a single line followed by the mean judgment score and the standard deviation.
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