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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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3
On Classifying whether Two Texts are on the Same Side of an Argument ...
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4
AWESSOME : An unsupervised sentiment intensity scoring framework using neural word embeddings
Htait, Amal; Azzopardi, Leif. - : Springer, 2021
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5
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 ...
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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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17
Overview of PAN 2018. Author identification, author profiling, and author obfuscation
Potthast, Martin; Tschuggnall, Michael; Stein, Benno. - : Springer-Verlag, 2018
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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
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CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Abstract: The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets. In 2017, one of two tasks was devoted to learning dependency parsers for a large number of languages, in a realworld setting without any gold-standard annotation on input. All test sets followed a unified annotation scheme, namely that of Universal Dependencies. In this paper, we define the task and evaluation methodology, describe data preparation, report and analyze the main results, and provide a brief categorization of the different approaches of the participating systems.
Keyword: dependency syntax; evaluation; parsing; Universal Dependencies
URL: http://www.aclweb.org/anthology/K/K17/K17-3001.pdf
https://doi.org/10.18653/v1/K17-3001
http://hdl.handle.net/2318/1652589
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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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