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
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal DomainCode1
Exploring the Potential of Large Language Models in Computational ArgumentationCode1
Detecting Arguments in CJEU Decisions on Fiscal State AidCode1
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument MiningCode1
Mining Legal Arguments in Court DecisionsCode1
Identifying the Human Values behind ArgumentsCode1
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining TasksCode1
M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and TranscriptsCode1
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language ModelsCode1
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple SentencesCode1
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument MiningCode1
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual PatternsCode1
Multi-Task Attentive Residual Networks for Argument MiningCode1
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online ContentCode1
Argument Mining Driven Analysis of Peer-ReviewsCode1
DebateSum: A large-scale argument mining and summarization datasetCode1
Towards an Argument Mining Pipeline Transforming Texts to Argument GraphsCode1
AMPERSAND: Argument Mining for PERSuAsive oNline DiscussionsCode1
Argumentative Link Prediction using Residual Networks and Multi-Objective LearningCode1
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
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified