Workshop on Argument Mining 2023 — accepted papers
Workshop on Argument Mining 2023 is the 2023 edition of the Workshop on Argument Mining, held in Singapore, December 2023 (publisher: Association for Computational Linguistics). The ACL Anthology lists 26 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Singapore · 🗓 December 2023
Most cited papers
- Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining ↗Zhexiong Liu, Mohamed Elaraby, Yang Zhong et al.11 citations
- Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models ↗Ramon Ruiz-Dolz, John Lawrence8 citations
- Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification ↗Kanagasabai Rajaraman, Hariram Veeramani, Saravanan Rajamanickam et al.8 citations
- Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning ↗Arushi Sharma, Abhibha Gupta, Maneesh Bilalpur7 citations
- Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation ↗Camelia Guerraoui, Paul Reisert, Naoya Inoue et al.7 citations
- Towards Fine-Grained Argumentation Strategy Analysis in Persuasive Essays ↗Robin Schaefer, René Knaebel, Manfred Stede7 citations
- Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer ReviewsNils Dycke, Ilia Kuznetsov, Iryna Gurevych4 citations · our summary
- IUST at ImageArg: The First Shared Task in Multimodal Argument Mining ↗Melika Nobakhtian, Ghazal Zamaninejad, Erfan Moosavi Monazzah et al.2 citations
- TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining ↗Qing Zong, Zhaowei Wang, Baixuan Xu et al.2 citations
- A General Framework for Multimodal Argument Persuasiveness Classification of Tweets ↗Mohammad Soltani, Julia Romberg1 citation
All accepted papers (26)
- Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining ↗Zhexiong Liu, Mohamed Elaraby, Yang Zhong et al.11 citations
- Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models ↗Ramon Ruiz-Dolz, John Lawrence8 citations
- Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification ↗Kanagasabai Rajaraman, Hariram Veeramani, Saravanan Rajamanickam et al.8 citations
- Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning ↗Arushi Sharma, Abhibha Gupta, Maneesh Bilalpur7 citations
- Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation ↗Camelia Guerraoui, Paul Reisert, Naoya Inoue et al.7 citations
- Towards Fine-Grained Argumentation Strategy Analysis in Persuasive Essays ↗Robin Schaefer, René Knaebel, Manfred Stede7 citations
- Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer ReviewsNils Dycke, Ilia Kuznetsov, Iryna Gurevych4 citations · our summary
- IUST at ImageArg: The First Shared Task in Multimodal Argument Mining ↗Melika Nobakhtian, Ghazal Zamaninejad, Erfan Moosavi Monazzah et al.2 citations
- TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining ↗Qing Zong, Zhaowei Wang, Baixuan Xu et al.2 citations
- A General Framework for Multimodal Argument Persuasiveness Classification of Tweets ↗Mohammad Soltani, Julia Romberg1 citation
- Argument Detection in Student Essays under Resource Constraints ↗Omid Kashefi, Sophia Chan, Swapna Somasundaran1 citation
- CATALPA_EduNLP at PragTag-2023 ↗Yuning Ding, Marie Bexte, Andrea Horbach1 citation
- Constituency Tree Representation for Argument Unit Recognition ↗Samuel Guilluy, Florian Mehats, Billal Chouli1 citation
- DeepBlueAI at PragTag-2023:Ensemble-based Text Classification Approaches under Limited Data Resources ↗Zhipeng Luo, Jiahui Wang, Yihao Guo1 citation
- GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness Learning ↗Mohammad Shokri, Sarah Ita Levitan1 citation
- MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty ↗Yoonsang Lee, Dongryeol Lee, Kyomin Jung1 citation
- NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data ↗Sujatha Das Gollapalli, Yixin Huang, See-Kiong Ng1 citation
- On the Impact of Reconstruction and Context for Argument Prediction in Natural Debate ↗Zlata Kikteva, Alexander Trautsch, Patrick Katzer et al.1 citation
- SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information ↗Jing Zhang, Shaojun Yu, Xuan Li et al.1 citation
- SuryaKiran at PragTag 2023 - Benchmarking Domain Adaptation using Masked Language Modeling in Natural Language Processing For Specialized Data ↗Kunal Suri, Prakhar Mishra, Albert Nanda1 citation
- Dimensionality Reduction for Machine Learning-based Argument Mining ↗Andrés Segura-Tinoco, Iván Cantador
- Legal Argument Extraction from Court Judgements using Integer Linear Programming ↗Basit Ali, Sachin Pawar, Girish Palshikar et al.
- Stance-Aware Re-Ranking for Non-factual Comparative Queries ↗Jan Heinrich Reimer, Alexander Bondarenko, Maik Fröbe et al.
- Unsupervised argument reframing with a counterfactual-based approach ↗Philipp Heinisch, Dimitry Mindlin, Philipp Cimiano
- Using Masked Language Model Probabilities of Connectives for Stance Detection in English Discourse ↗Regina Stodden, Laura Kallmeyer, Lea Kawaletz et al.
See all 26 papers in Workshop on Argument Mining 2023 — accepted papers →
Papers with our summary in our library (1)
- Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer ReviewsWorkshop on Argument MiningNils Dycke, Ilia Kuznetsov, Iryna Gurevych2023 · 10 citations
Top topics
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
Top institutions
🎓Technische Universität DarmstadtDarmstadt ·
Germany1 work here🔬Hessian Center for Artificial IntelligenceDarmstadt ·
Germany1 work here
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