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ArgMining@EMNLP 2017: Copenhagen, Denmark
- Ivan Habernal, Iryna Gurevych, Kevin D. Ashley, Claire Cardie, Nancy L. Green, Diane J. Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern R. Walker:
Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-84-5 - Constanza Fierro, Claudio Fuentes, Jorge Pérez, Mauricio Quezada:
200K+ Crowdsourced Political Arguments for a New Chilean Constitution. 1-10 - Christopher Hidey, Elena Musi, Alyssa Hwang, Smaranda Muresan, Kathy McKeown:
Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum. 11-21 - Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
Annotation of argument structure in Japanese legal documents. 22-31 - Roy Bar-Haim, Lilach Edelstein, Charles Jochim, Noam Slonim:
Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization. 32-38 - John Lawrence, Chris Reed:
Mining Argumentative Structure from Natural Language text using Automatically Generated Premise-Conclusion Topic Models. 39-48 - Henning Wachsmuth, Martin Potthast, Khalid Al Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, Benno Stein:
Building an Argument Search Engine for the Web. 49-59 - Yufang Hou, Charles Jochim:
Argument Relation Classification Using a Joint Inference Model. 60-66 - Ahmet Aker, Huangpan Zhang:
Projection of Argumentative Corpora from Source to Target Languages. 67-72 - Nancy L. Green:
Manual Identification of Arguments with Implicit Conclusions Using Semantic Rules for Argument Mining. 73-78 - Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim:
Unsupervised corpus-wide claim detection. 79-84 - Patrick Saint-Dizier:
Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach. 85-90 - Ahmet Aker, Alfred Sliwa, Yuan Ma, Ruishen Liu, Niravkumar Borad, Seyedeh Ziyaei, Mina Ghobadi:
What works and what does not: Classifier and feature analysis for argument mining. 91-96 - Alfio Ferrara, Stefano Montanelli, Georgios Petasis:
Unsupervised Detection of Argumentative Units though Topic Modeling Techniques. 97-107 - John Lawrence, Chris Reed:
Using Complex Argumentative Interactions to Reconstruct the Argumentative Structure of Large-Scale Debates. 108-117 - Yamen Ajjour, Wei-Fan Chen, Johannes Kiesel, Henning Wachsmuth, Benno Stein:
Unit Segmentation of Argumentative Texts. 118-128
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