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ArgMining@COLING 2022: Gyeongju, Korea
- Gabriella Lapesa, Jodi Schneider, Yohan Jo, Sougata Saha:
Proceedings of the 9th Workshop on Argument Mining, ArgMining@COLING 2022, Online and in Gyeongju, Republic of Korea, October 12 - 17, 2022. International Conference on Computational Linguistics 2022 - Proceedings of the 9th Workshop on Argument Mining.
- Zhexiong Liu, Meiqi Guo, Yue Dai, Diane J. Litman:
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining. 1-18 - Philipp Heinisch, Moritz Plenz, Juri Opitz, Anette Frank, Philipp Cimiano:
Data Augmentation for Improving the Prediction of Validity and Novelty of Argumentative Conclusions. 19-33 - Yingqiang Gao, Nianlong Gu, Jessica Lam, Richard H. R. Hahnloser:
Do Discourse Indicators Reflect the Main Arguments in Scientific Papers? 34-50 - Wei-Fan Chen, Mei-Hua Chen, Garima Mudgal, Henning Wachsmuth:
Analyzing Culture-Specific Argument Structures in Learner Essays. 51-61 - Jonathan Kamp, Lisa Beinborn, Antske Fokkens:
Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognition. 62-73 - Muhammad Tawsif Sazid, Robert E. Mercer:
A Unified Representation and a Decoupled Deep Learning Architecture for Argumentation Mining of Students' Persuasive Essays. 74-83 - Philipp Heinisch, Anette Frank, Juri Opitz, Moritz Plenz, Philipp Cimiano:
Overview of the 2022 Validity and Novelty Prediction Shared Task. 84-94 - Michiel van der Meer, Myrthe Reuver, Urja Khurana, Lea Krause, Selene Baez Santamaría:
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction. 95-103 - Ameer Saadat-Yazdi, Xue Li, Sandrine Chausson, Vaishak Belle, Björn Ross, Jeff Z. Pan, Nadin Kökciyan:
KEViN: A Knowledge Enhanced Validity and Novelty Classifier for Arguments. 104-110 - Milad Alshomary, Maja Stahl:
Argument Novelty and Validity Assessment via Multitask and Transfer Learning. 111-114 - Julia Romberg:
Is Your Perspective Also My Perspective? Enriching Prediction with Subjectivity. 115-125 - Mattes Ruckdeschel, Gregor Wiedemann:
Boundary Detection and Categorization of Argument Aspects via Supervised Learning. 126-136 - Jonathan Clayton, Rob Gaizauskas:
Predicting the Presence of Reasoning Markers in Argumentative Text. 137-142 - Giulia Grundler, Piera Santin, Andrea Galassi, Federico Galli, Francesco Godano, Francesca Lagioia, Elena Palmieri, Federico Ruggeri, Giovanni Sartor, Paolo Torroni:
Detecting Arguments in CJEU Decisions on Fiscal State Aid. 143-157 - Eleonora Mancini, Federico Ruggeri, Andrea Galassi, Paolo Torroni:
Multimodal Argument Mining: A Case Study in Political Debates. 158-170 - Mehmet Sofi, Matteo Fortier, Oana Cocarascu:
A Robustness Evaluation Framework for Argument Mining. 171-180 - Robin Schaefer, René Knaebel, Manfred Stede:
On Selecting Training Corpora for Cross-Domain Claim Detection. 181-186 - Amelie Wührl, Roman Klinger:
Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets. 187-198 - Manuel Biertz, Lorik Dumani, Markus Nilles, Björn Metzler, Ralf Schenkel:
QualiAssistant: Extracting Qualia Structures from Texts. 199-208
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