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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 30 1 Webis Context-sensitive Word Search Queries 2022 ... Wiegmann, Matti; Vöslke, Michael; Potthast, Martin. - : Zenodo, 2022 BASE Show details 2 Webis Context-sensitive Word Search Queries 2022 ... Wiegmann, Matti; Vöslke, Michael; Potthast, Martin. - : Zenodo, 2022 BASE Show details 3 On Classifying whether Two Texts are on the Same Side of an Argument ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hakimi, Ahmad Dawar; Heyer, Gerhard. - : Underline Science Inc., 2021 BASE Show details 4 AWESSOME : An unsupervised sentiment intensity scoring framework using neural word embeddings Htait, Amal; Azzopardi, Leif. - : Springer, 2021 BASE Show details 5 Evaluating multilingual text encoders for unsupervised cross-lingual retrieval Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer, 2021 BASE Show details 6 Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) ... Gienapp, Lukas; Stein, Benno; Hagen, Matthias. - : Zenodo, 2020 BASE Show details 7 Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) ... Gienapp, Lukas; Stein, Benno; Hagen, Matthias. - : Zenodo, 2020 BASE Show details 8 args.me corpus ... Ajjour, Yamen; Wachsmuth, Henning; Kiesel, Johannes; Potthast, Martin; Hagen, Matthias; Stein, Benno. - : Zenodo, 2020 Abstract: The args.me corpus comprises 387 740 arguments. They are crawled from the debate portals Debatewise (14 353 arguments), IDebate.org (13 522 arguments), Debatepedia (21 197 arguments), and Debate.org (338 620 arguments). Moreover, the corpus contains 48 arguments from Canadian Parliament discussions. The arguments are extracted using heuristics that are designed for each debate portal. These arguments are the ones currently provided through the args.me search engine. Note that the args API does not return the sourceText (which is indexed by args.me an included in this dataset) due to its size. Cite args.me as Henning Wachsmuth, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. Building an Argument Search Engine for the Web. In 4th Workshop on Argument Mining (ArgMining 2017) at EMNLP, pages 49-59, September 2017. Association for Computational Linguistics. Cite this dataset as Yamen Ajjour, Henning Wachsmuth, Johannes ... : {"references": ["Yamen Ajjour, Henning Wachsmuth, Johannes Kiesel, Martin Potthast, Matthias Hagen, and Benno Stein. Data Acquisition for Argument Search: The args.me corpus. In 42nd German Conference on Artificial Intelligence (KI 2019), September 2019. Springer.", "Henning Wachsmuth, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. Building an Argument Search Engine for the Web. In 4th Workshop on Argument Mining (ArgMining 2017) at EMNLP, pages 49-59, September 2017. Association for Computational Linguistics."]} ... Keyword: Computational Argumentation, Argument Search, Information Retrieval, Natural Language Processing URL: https://zenodo.org/record/3734893 https://dx.doi.org/10.5281/zenodo.3734893 BASE Hide details 9 args.me corpus ... Ajjour, Yamen; Wachsmuth, Henning; Kiesel, Johannes. - : Zenodo, 2020 BASE Show details 10 args.me corpus ... Ajjour, Yamen; Wachsmuth, Henning; Kiesel, Johannes. - : Zenodo, 2020 BASE Show details 11 Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection Bevendorff, Janek; Ghanem, Bilal Hisham Hasan; Giachanou, Anastasia. - : Springer, 2020 BASE Show details 12 Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-domain Authorship Attribution and Style Change Detection Daelemans, Walter; Kestemont, Mike; Manjavacas, Enrique. - : Springer-Verlag, 2019 BASE Show details 13 A Decade of Shared Tasks in Digital Text Forensics at PAN Potthast, Martin; Rosso, Paolo; Stamatatos, Efstathios. - : Springer-Verlag, 2019 BASE Show details 14 CoNLL 2018 Shared Task System Outputs Zeman, Daniel; Potthast, Martin; Duthoo, Elie. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018 BASE Show details 15 BuzzFeed-Webis Fake News Corpus 2016 ... Potthast, Martin; Kiesel, Johannes; Reinartz, Kevin. - : Zenodo, 2018 BASE Show details 16 BuzzFeed-Webis Fake News Corpus 2016 ... Potthast, Martin; Kiesel, Johannes; Reinartz, Kevin. - : Zenodo, 2018 BASE Show details 17 Overview of PAN 2018. Author identification, author profiling, and author obfuscation Potthast, Martin; Tschuggnall, Michael; Stein, Benno. - : Springer-Verlag, 2018 BASE Show details 18 CoNLL 2017 Shared Task System Outputs Zeman, Daniel; Potthast, Martin; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details 19 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies Çöltekin, Çağrı; Kayadelen, Tolga; Droganova, Kira. - : Association for Computational Linguistics, 2017. : country:USA, 2017. : place:Stroudsburg, PA, 2017 BASE Show details 20 Overview of PAN'17: Author Identification, Author Profiling, and Author Obfuscation Potthast, Martin; Tschuggnall, Michael; Stein, Benno. - : Springer-Verlag, 2017 BASE Show details Page: 1 2

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