---
title: "Workshop on Argument Mining 2023 — accepted papers"
description: "Workshop on Argument Mining 2023 — accepted papers: 1 paper in the Elamur Research library (Singapore), with our summaries, ranked by…"
canonical: "https://research.elamur.ai/free/en/venues/argmining/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/argmining/2023/)

[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

# 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](https://md.research.elamur.ai/free/en/countries/singapore/) · 🗓 December 2023

[**26** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/argmining/2023/#works) · [**10** citations of these works](https://md.research.elamur.ai/free/en/venues/argmining/2023/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

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*

## All accepted papers (26)

The most cited first; 1 with our summary link to their page here, the others to the original.

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.

[See all 26 papers in Workshop on Argument Mining 2023 — accepted papers →](https://md.research.elamur.ai/free/en/venues/argmining/2023/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[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/) [Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/)**Nils Dycke, Ilia Kuznetsov, Iryna Gurevych*2023 · 10 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Ilia Kuznetsov**1 work here · 10 citations](https://md.research.elamur.ai/free/en/authors/ilia-kuznetsov/) · [🧑‍🔬**Iryna Gurevych**1 work here · 10 citations](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Technische Universität Darmstadt** Darmstadt · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/) · [🔬**Hessian Center for Artificial Intelligence** Darmstadt · Germany 1 work here](https://md.research.elamur.ai/free/en/labs/hessian-center-for-artificial-intelligence/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous Workshop on Argument Mining 2021](https://md.research.elamur.ai/free/en/venues/argmining/2021/)
- [↑ back to Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/)