ArgMining@EMNLP

Publications

2023

Arushi Sharma, Abhibha Gupta, Maneesh Bilalpur
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning. ArgMining@EMNLP (2023)
Yuning Ding, Marie Bexte, Andrea Horbach
CATALPA_EduNLP at PragTag-2023. ArgMining@EMNLP (2023)
Melika Nobakhtian, Ghazal Zamaninejad, Erfan Moosavi Monazzah, Sauleh Eetemadi
IUST at ImageArg: The First Shared Task in Multimodal Argument Mining. ArgMining@EMNLP (2023)
Frontmatter. ArgMining@EMNLP (2023)
Mohammad Shokri, Sarah Ita Levitan
GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness Learning. ArgMining@EMNLP (2023)
Jing Zhang, Shaojun Yu, Xuan Li, Jia Geng, Zhiyuan Zheng, Joyce C. Ho
SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information. ArgMining@EMNLP (2023)
Regina Stodden, Laura Kallmeyer, Lea Kawaletz, Heidrun Dorgeloh
Using Masked Language Model Probabilities of Connectives for Stance Detection in English Discourse. ArgMining@EMNLP (2023)
Sujatha Das Gollapalli, Yixin Huang, See-Kiong Ng
NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data. ArgMining@EMNLP (2023)
Yoonsang Lee, Dongryeol Lee, Kyomin Jung
MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty. ArgMining@EMNLP (2023)
Kanagasabai Rajaraman, Hariram Veeramani, Saravanan Rajamanickam, Adam Maciej Westerski, Jung-Jae Kim
Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification. ArgMining@EMNLP (2023)
Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. ArgMining@EMNLP (2023)
Zlata Kikteva, Alexander Trautsch, Patrick Katzer, Mirko Oest, Steffen Herbold, Annette Hautli-Janisz
On the Impact of Reconstruction and Context for Argument Prediction in Natural Debate. ArgMining@EMNLP (2023)
Jan Heinrich Reimer, Alexander Bondarenko, Maik Fröbe, Matthias Hagen
Stance-Aware Re-Ranking for Non-factual Comparative Queries. ArgMining@EMNLP (2023)
Basit Ali, Sachin Pawar, Girish K. Palshikar, Anindita Sinha Banerjee, Dhirendra Singh
Legal Argument Extraction from Court Judgements using Integer Linear Programming. ArgMining@EMNLP (2023)
Camélia Guerraoui, Paul Reisert, Naoya Inoue, Farjana Sultana Mim, Keshav Singh, Jungmin Choi, Irfan Robbani, Shoichi Naitoh, Wenzhi Wang, Kentaro Inui
Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation. ArgMining@EMNLP (2023)
Samuel Guilluy, Florian Méhats, Billal Chouli
Constituency Tree Representation for Argument Unit Recognition. ArgMining@EMNLP (2023)
Robin Schaefer, René Knaebel, Manfred Stede
Towards Fine-Grained Argumentation Strategy Analysis in Persuasive Essays. ArgMining@EMNLP (2023)
Philipp Heinisch, Dimitry Mindlin, Philipp Cimiano
Unsupervised argument reframing with a counterfactual-based approach. ArgMining@EMNLP (2023)
Nils Dycke, Ilia Kuznetsov, Iryna Gurevych
Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews. ArgMining@EMNLP (2023)
Omid Kashefi, Sophia Chan, Swapna Somasundaran
Argument Detection in Student Essays under Resource Constraints. ArgMining@EMNLP (2023)
Islam Torky, Simon Ruth, Shashi Sharma, Mohamed Salama, Krishna Chaitanya, Tim Gollub, Johannes Kiesel, Benno Stein
Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification. ArgMining@EMNLP (2023)
Zhipeng Luo, Jiahui Wang, Yihao Guo
DeepBlueAI at PragTag-2023: Ensemble-based Text Classification Approaches under Limited Data Resources. ArgMining@EMNLP (2023)
Mohammad Soltani, Julia Romberg
A General Framework for Multimodal Argument Persuasiveness Classification of Tweets. ArgMining@EMNLP (2023)
Qing Zong, Zhaowei Wang, Baixuan Xu, Tianshi Zheng, Haochen Shi, Weiqi Wang, Yangqiu Song, Ginny Y. Wong, Simon See
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining. ArgMining@EMNLP (2023)
Kunal Suri, Prakhar Mishra, Albert Nanda
SuryaKiran at PragTag 2023 - Benchmarking Domain Adaptation using Masked Language Modeling in Natural Language Processing For Specialized Data. ArgMining@EMNLP (2023)
Ramon Ruiz-Dolz, John Lawrence
Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models. ArgMining@EMNLP (2023)
Proceedings of the 10th Workshop on Argument Mining, ArgMining 2023, Singapore, December 7, 2023 ArgMining@EMNLP (2023)
Andrés Segura-Tinoco, Iván Cantador
Dimensionality Reduction for Machine Learning-based Argument Mining. ArgMining@EMNLP (2023)

2021