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ORCIDArgMining@EMNLP 2021: Punta Cana, Dominican Republic
- Khalid Al Khatib, Yufang Hou, Manfred Stede:
Proceedings of the 8th Workshop on Argument Mining, ArgMining@EMNLP 2021, Punta Cana, Dominican Republic, November 10-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-92-3 - Muhammad Mahad Afzal Bhatti, Ahsan Suheer Ahmad, Joonsuk Park:
Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate. 1-11 - Jan Wira Gotama Putra, Simone Teufel, Takenobu Tokunaga:
Multi-task and Multi-corpora Training Strategies to Enhance Argumentative Sentence Linking Performance. 12-23 - Juri Opitz, Philipp Heinisch, Philipp Wiesenbach, Philipp Cimiano
, Anette Frank:
Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation. 24-35 - Johannes Kiesel, Nico Reichenbach, Benno Stein, Martin Potthast:
Image Retrieval for Arguments Using Stance-Aware Query Expansion. 36-45 - Myrthe Reuver, Suzan Verberne, Roser Morante, Antske Fokkens:
Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study. 46-56 - Keshav Singh, Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Kentaro Inui:
Exploring Methodologies for Collecting High-Quality Implicit Reasoning in Arguments. 57-66 - Timon Gurcke, Milad Alshomary, Henning Wachsmuth:
Assessing the Sufficiency of Arguments through Conclusion Generation. 67-77 - Rafael Mestre, Razvan Milicin, Stuart Middleton, Matt Ryan, Jiatong Zhu, Timothy J. Norman:
M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts. 78-88 - Julia Romberg, Stefan Conrad:
Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions? 89-99 - Aris Fergadis, Dimitris Pappas, Antonia Karamolegkou, Haris Papageorgiou:
Argumentation Mining in Scientific Literature for Sustainable Development. 100-111 - Takahiro Kondo, Koki Washio, Katsuhiko Hayashi, Yusuke Miyao:
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes. 112-124 - Yi-Ling Chung, Marco Guerini, Rodrigo Agerri:
Multilingual Counter Narrative Type Classification. 125-132 - Neele Falk, Iman Jundi, Eva Maria Vecchi, Gabriella Lapesa:
Predicting Moderation of Deliberative Arguments: Is Argument Quality the Key? 133-141 - Mohamed Elaraby, Diane J. Litman:
Self-trained Pretrained Language Models for Evidence Detection. 142-147 - Nhat Tran, Diane J. Litman:
Multi-task Learning in Argument Mining for Persuasive Online Discussions. 148-153 - Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim:
Overview of the 2021 Key Point Analysis Shared Task. 154-164 - Viet Hoang Phan, Tien Long Nguyen, Duc Long Nguyen, Ngoc Khanh Doan:
Matching The Statements: A Simple and Accurate Model for Key Point Analysis. 165-174 - Jan Heinrich Reimer, Thi Kim Hanh Luu, Max Henze, Yamen Ajjour:
Modern Talking in Key Point Analysis: Key Point Matching using Pretrained Encoders. 175-183 - Milad Alshomary, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, Henning Wachsmuth:
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. 184-189 - Emanuele Cosenza:
Key Point Matching with Transformers. 190-199 - Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy:
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. 200-205
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