---
title: "Workshop on Argument Mining 2023 — all accepted papers"
description: "All 26 papers of Workshop on Argument Mining 2023, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/argmining/2023/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/argmining/2023/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/) / [2023](https://md.research.elamur.ai/free/en/venues/argmining/2023/) / papers

# Workshop on Argument Mining 2023: all accepted papers

26 papers · the most cited first · [← Workshop on Argument Mining 2023](https://md.research.elamur.ai/free/en/venues/argmining/2023/)

1. **[Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining ↗](https://aclanthology.org/2023.argmining-1.12/)**Zhexiong Liu, Mohamed Elaraby, Yang Zhong et al.*11 citations*
2. **[Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models ↗](https://aclanthology.org/2023.argmining-1.1/)**Ramon Ruiz-Dolz, John Lawrence*8 citations*
3. **[Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification ↗](https://aclanthology.org/2023.argmining-1.20/)**Kanagasabai Rajaraman, Hariram Veeramani, Saravanan Rajamanickam et al.*8 citations*
4. **[Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning ↗](https://aclanthology.org/2023.argmining-1.18/)**Arushi Sharma, Abhibha Gupta, Maneesh Bilalpur*7 citations*
5. **[Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation ↗](https://aclanthology.org/2023.argmining-1.3/)**Camelia Guerraoui, Paul Reisert, Naoya Inoue et al.*7 citations*
6. **[Towards Fine-Grained Argumentation Strategy Analysis in Persuasive Essays ↗](https://aclanthology.org/2023.argmining-1.8/)**Robin Schaefer, René Knaebel, Manfred Stede*7 citations*
7. **[Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews](https://md.research.elamur.ai/free/en/papers/dycke-2023-overview-pragtag-2023-low-resource/)**Nils Dycke, Ilia Kuznetsov, Iryna Gurevych*4 citations · our summary*
8. **[IUST at ImageArg: The First Shared Task in Multimodal Argument Mining ↗](https://aclanthology.org/2023.argmining-1.13/)**Melika Nobakhtian, Ghazal Zamaninejad, Erfan Moosavi Monazzah et al.*2 citations*
9. **[TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining ↗](https://aclanthology.org/2023.argmining-1.14/)**Qing Zong, Zhaowei Wang, Baixuan Xu et al.*2 citations*
10. **[A General Framework for Multimodal Argument Persuasiveness Classification of Tweets ↗](https://aclanthology.org/2023.argmining-1.15/)**Mohammad Soltani, Julia Romberg*1 citation*
11. **[Argument Detection in Student Essays under Resource Constraints ↗](https://aclanthology.org/2023.argmining-1.7/)**Omid Kashefi, Sophia Chan, Swapna Somasundaran*1 citation*
12. **[CATALPA_EduNLP at PragTag-2023 ↗](https://aclanthology.org/2023.argmining-1.22/)**Yuning Ding, Marie Bexte, Andrea Horbach*1 citation*
13. **[Constituency Tree Representation for Argument Unit Recognition ↗](https://aclanthology.org/2023.argmining-1.4/)**Samuel Guilluy, Florian Mehats, Billal Chouli*1 citation*
14. **[DeepBlueAI at PragTag-2023:Ensemble-based Text Classification Approaches under Limited Data Resources ↗](https://aclanthology.org/2023.argmining-1.23/)**Zhipeng Luo, Jiahui Wang, Yihao Guo*1 citation*
15. **[GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness Learning ↗](https://aclanthology.org/2023.argmining-1.17/)**Mohammad Shokri, Sarah Ita Levitan*1 citation*
16. **[MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty ↗](https://aclanthology.org/2023.argmining-1.24/)**Yoonsang Lee, Dongryeol Lee, Kyomin Jung*1 citation*
17. **[NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data ↗](https://aclanthology.org/2023.argmining-1.25/)**Sujatha Das Gollapalli, Yixin Huang, See-Kiong Ng*1 citation*
18. **[On the Impact of Reconstruction and Context for Argument Prediction in Natural Debate ↗](https://aclanthology.org/2023.argmining-1.10/)**Zlata Kikteva, Alexander Trautsch, Patrick Katzer et al.*1 citation*
19. **[SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information ↗](https://aclanthology.org/2023.argmining-1.19/)**Jing Zhang, Shaojun Yu, Xuan Li et al.*1 citation*
20. **[SuryaKiran at PragTag 2023 - Benchmarking Domain Adaptation using Masked Language Modeling in Natural Language Processing For Specialized Data ↗](https://aclanthology.org/2023.argmining-1.26/)**Kunal Suri, Prakhar Mishra, Albert Nanda*1 citation*
21. **[Dimensionality Reduction for Machine Learning-based Argument Mining ↗](https://aclanthology.org/2023.argmining-1.9/)**Andrés Segura-Tinoco, Iván Cantador
22. **[Legal Argument Extraction from Court Judgements using Integer Linear Programming ↗](https://aclanthology.org/2023.argmining-1.6/)**Basit Ali, Sachin Pawar, Girish Palshikar et al.
23. **[Stance-Aware Re-Ranking for Non-factual Comparative Queries ↗](https://aclanthology.org/2023.argmining-1.5/)**Jan Heinrich Reimer, Alexander Bondarenko, Maik Fröbe et al.
24. **[Unsupervised argument reframing with a counterfactual-based approach ↗](https://aclanthology.org/2023.argmining-1.11/)**Philipp Heinisch, Dimitry Mindlin, Philipp Cimiano
25. **[Using Masked Language Model Probabilities of Connectives for Stance Detection in English Discourse ↗](https://aclanthology.org/2023.argmining-1.2/)**Regina Stodden, Laura Kallmeyer, Lea Kawaletz et al.
26. **[Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification ↗](https://aclanthology.org/2023.argmining-1.16/)**Islam Torky, Simon Ruth, Shashi Sharma et al.
- [← back to](https://md.research.elamur.ai/free/en/venues/argmining/2023/) — Workshop on Argument Mining 2023
