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Webis Context-sensitive Word Search Queries 2022 ...
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Webis Context-sensitive Word Search Queries 2022 ...
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On Classifying whether Two Texts are on the Same Side of an Argument ...
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AWESSOME : An unsupervised sentiment intensity scoring framework using neural word embeddings
Htait, Amal; Azzopardi, Leif. - : Springer, 2021
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Evaluating multilingual text encoders for unsupervised cross-lingual retrieval
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Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) ...
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Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) ...
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args.me corpus ...
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args.me corpus ...
Abstract: The args.me corpus (version 1.0, cleaned) comprises 382 545 arguments crawled from four debate portals in the middle of 2019. The debate portals are Debatewise, IDebate.org, Debatepedia, and Debate.org. The arguments are extracted using heuristics that are designed for each debate portal. This version contains the same arguments as Version 1.0, but cleaned as described in the corresponding publication. 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 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. ... : {"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/3274635
https://dx.doi.org/10.5281/zenodo.3274635
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args.me corpus ...
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11
Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection
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Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-domain Authorship Attribution and Style Change Detection
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13
A Decade of Shared Tasks in Digital Text Forensics at PAN
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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
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BuzzFeed-Webis Fake News Corpus 2016 ...
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BuzzFeed-Webis Fake News Corpus 2016 ...
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Overview of PAN 2018. Author identification, author profiling, and author obfuscation
Potthast, Martin; Tschuggnall, Michael; Stein, Benno. - : Springer-Verlag, 2018
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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
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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
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Overview of PAN'17: Author Identification, Author Profiling, and Author Obfuscation
Potthast, Martin; Tschuggnall, Michael; Stein, Benno. - : Springer-Verlag, 2017
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