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ArgMining - 2016
Total Papers:- 21
Total Papers accross all years:- 93
Total Citations :- 60
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Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates
Filip Boltužić |
Jan Šnajder |
What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld
Matthias Liebeck |
Katharina Esau |
Stefan Conrad |
Argumentative texts and clause types
Maria Becker |
Alexis Palmer |
Anette Frank |
Argumentation: Content, Structure, and Relationship with Essay Quality
Beata Beigman Klebanov |
Christian Stab |
Jill Burstein |
Yi Song |
Binod Gyawali |
Iryna Gurevych |
Recognizing the Absence of Opposing Arguments in Persuasive Essays
Christian Stab |
Iryna Gurevych |
A Preliminary Study of Disputation Behavior in Online Debating Forum
Zhongyu Wei |
Yandi Xia |
Chen Li |
Yang Liu |
Zachary Stallbohm |
Yi Li |
Yang Jin |
Identifying Argument Components through TextRank
Georgios Petasis |
Vangelis Karkaletsis |
“What Is Your Evidence?” A Study of Controversial Topics on Social Media
Aseel Addawood |
Masooda Bashir |
Summarizing Multi-Party Argumentative Conversations in Reader Comment on News
Emma Barker |
Robert Gaizauskas |
The CASS Technique for Evaluating the Performance of Argument Mining
Rory Duthie |
John Lawrence |
Katarzyna Budzynska |
Chris Reed |
Towards Feasible Guidelines for the Annotation of Argument Schemes
Elena Musi |
Debanjan Ghosh |
Smaranda Muresan |
Rhetorical structure and argumentation structure in monologue text
Andreas Peldszus |
Manfred Stede |
Summarising the points made in online political debates
Charlie Egan |
Advaith Siddharthan |
Adam Wyner |
Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews
Pavithra Rajendran |
Danushka Bollegala |
Simon Parsons |
Neural Attention Model for Classification of Sentences that Support Promoting/Suppressing Relationship
Yuta Koreeda |
Toshihiko Yanase |
Kohsuke Yanai |
Misa Sato |
Yoshiki Niwa |
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Language Identification
Tagging
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Textual Entailment
Semantic Similarity
Information Retrieval
Sentiment Analysis
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Text Simplification
Argumentation Mining
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Deep Learning
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