Abstract is missing.
- Frontmatter [doi]
- Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language ModelsRamon Ruiz-Dolz, John Lawrence. 1-10 [doi]
- Using Masked Language Model Probabilities of Connectives for Stance Detection in English DiscourseRegina Stodden, Laura Kallmeyer, Lea Kawaletz, Heidrun Dorgeloh. 11-18 [doi]
- Teach Me How to Argue: A Survey on NLP Feedback Systems in ArgumentationCamélia Guerraoui, Paul Reisert, Naoya Inoue, Farjana Sultana Mim, Keshav Singh, Jungmin Choi, Irfan Robbani, Shoichi Naitoh, Wenzhi Wang, Kentaro Inui. 19-34 [doi]
- Constituency Tree Representation for Argument Unit RecognitionSamuel Guilluy, Florian Méhats, Billal Chouli. 35-44 [doi]
- Stance-Aware Re-Ranking for Non-factual Comparative QueriesJan Heinrich Reimer, Alexander Bondarenko 0001, Maik Fröbe, Matthias Hagen. 45-51 [doi]
- Legal Argument Extraction from Court Judgements using Integer Linear ProgrammingBasit Ali, Sachin Pawar, Girish K. Palshikar, Anindita Sinha Banerjee, Dhirendra Singh. 52-63 [doi]
- Argument Detection in Student Essays under Resource ConstraintsOmid Kashefi, Sophia Chan, Swapna Somasundaran. 64-75 [doi]
- Towards Fine-Grained Argumentation Strategy Analysis in Persuasive EssaysRobin Schaefer, René Knaebel, Manfred Stede. 76-88 [doi]
- Dimensionality Reduction for Machine Learning-based Argument MiningAndrés Segura-Tinoco, Iván Cantador. 89-99 [doi]
- On the Impact of Reconstruction and Context for Argument Prediction in Natural DebateZlata Kikteva, Alexander Trautsch, Patrick Katzer, Mirko Oest, Steffen Herbold, Annette Hautli-Janisz. 100-106 [doi]
- Unsupervised argument reframing with a counterfactual-based approachPhilipp Heinisch, Dimitry Mindlin, Philipp Cimiano. 107-119 [doi]
- Overview of ImageArg-2023: The First Shared Task in Multimodal Argument MiningZhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman. 120-132 [doi]
- IUST at ImageArg: The First Shared Task in Multimodal Argument MiningMelika Nobakhtian, Ghazal Zamaninejad, Erfan Moosavi Monazzah, Sauleh Eetemadi. 133-138 [doi]
- TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument MiningQing Zong, Zhaowei Wang 0003, Baixuan Xu, Tianshi Zheng, Haochen Shi, Weiqi Wang, Yangqiu Song, Ginny Y. Wong, Simon See. 139-147 [doi]
- A General Framework for Multimodal Argument Persuasiveness Classification of TweetsMohammad Soltani, Julia Romberg. 148-156 [doi]
- Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness ClassificationIslam Torky, Simon Ruth, Shashi Sharma, Mohamed Salama, Krishna Chaitanya, Tim Gollub, Johannes Kiesel, Benno Stein 0001. 157-161 [doi]
- GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness LearningMohammad Shokri, Sarah Ita Levitan. 162-166 [doi]
- Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot LearningArushi Sharma, Abhibha Gupta, Maneesh Bilalpur. 167-174 [doi]
- SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual InformationJing Zhang, Shaojun Yu, Xuan Li, Jia Geng, Zhiyuan Zheng, Joyce C. Ho. 175-180 [doi]
- Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness ClassificationKanagasabai Rajaraman, Hariram Veeramani, Saravanan Rajamanickam, Adam Maciej Westerski, Jung-jae Kim. 181-186 [doi]
- Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer ReviewsNils Dycke, Ilia Kuznetsov, Iryna Gurevych. 187-196 [doi]
- CATALPA_EduNLP at PragTag-2023Yuning Ding, Marie Bexte, Andrea Horbach. 197-201 [doi]
- DeepBlueAI at PragTag-2023: Ensemble-based Text Classification Approaches under Limited Data ResourcesZhipeng Luo, Jiahui Wang, Yihao Guo. 202-206 [doi]
- MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced UncertaintyYoonsang Lee, Dongryeol Lee, Kyomin Jung. 207-211 [doi]
- NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled DataSujatha Das Gollapalli, Yixin Huang, See-Kiong Ng. 212-217 [doi]
- SuryaKiran at PragTag 2023 - Benchmarking Domain Adaptation using Masked Language Modeling in Natural Language Processing For Specialized DataKunal Suri, Prakhar Mishra, Albert Nanda. 218-222 [doi]