SOTAVerified

Argument Mining

Argument Mining is a field of corpus-based discourse analysis that involves the automatic identification of argumentative structures in text.

Source: AMPERSAND: Argument Mining for PERSuAsive oNline Discussions

Papers

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Showing 1–50 of 284 papers

TitleStatusHype
Leveraging Context for Multimodal Fallacy Classification in Political DebatesCode0
ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection—0
LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments—0
Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Method—0
Exploring new Approaches for Information Retrieval through Natural Language Processing—0
Argument Summarization and its Evaluation in the Era of Large Language Models—0
Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment—0
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education—0
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG IntegrationCode0
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges—0
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresCode0
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents—0
Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis—0
Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation—0
KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument MiningCode0
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot TechniquesCode0
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset—0
Overview of the CAIL 2023 Argument Mining Track—0
A Generative Marker Enhanced End-to-End Framework for Argument Mining—0
In-Context Learning and Fine-Tuning GPT for Argument MiningCode0
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and EvaluationCode0
Assisted Debate Builder with Large Language Models—0
DMON: A Simple yet Effective Approach for Argument Structure LearningCode0
WIBA: What Is Being Argued? A Comprehensive Approach to Argument MiningCode0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
Are Large Language Models Reliable Argument Quality Annotators?Code0
A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and QualityCode0
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal DomainCode1
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents—0
TACO -- Twitter Arguments from COnversationsCode0
Efficient argument classification with compact language models and ChatGPT-4 refinements—0
A Hybrid Intelligence Method for Argument Mining—0
NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes—0
Can Large Language Models perform Relation-based Argument Mining?—0
End-to-End Argument Mining over Varying Rhetorical StructuresCode0
Automatic Analysis of Substantiation in Scientific Peer ReviewsCode0
Exploring the Potential of Large Language Models in Computational ArgumentationCode1
Data and models for stance and premise detection in COVID-19 tweets: insights from the Social Media Mining for Health (SMM4H) 2022 shared taskCode0
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument MiningCode0
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning—0
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument MiningCode0
"I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language ModelsCode0
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining—0
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field StudyCode0
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources—0
DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge GraphsCode0
Multi-Task Learning Improves Performance In Deep Argument Mining Models—0
Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?—0
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative ApproachCode0
Argument Mining using BERT and Self-Attention based Embeddings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified