Papers Argument Mining
“Argument Mining” 태그가 달린 논문 311편 · 필터 해제
Who Argues What? Joint Argument-Entity Detection and Classification in Political Debates
Political debates are often analyzed through Argument Mining (AM) to investigate the key arguments that drive them. However, political arguments are rarely interpretable from argumentative spans alone, as claims and prem…
Argument MiningShow Me How You Reason and I'll Tell You Who You Are: Reasoning Graphs for Robust LLM Authorship Attribution
Given the current trend to employ large language models (LLMs) in almost any imaginable context, LLM-generated text detection and authorship attribution have become a pressing issue. Prior work has primarily focused on s…
Graph Neural NetworkArgument MiningText DetectionFrom Argument Components to Graphs: A Multi-Agent Debate with Confidence Gating for Argument Relations
Large Language Models (LLMs) are increasingly assessed and utilized in the field of Argument Mining (AM), thanks to their strong general reasoning capabilities. However, standard training-free models often miss sophistic…
Component ClassificationArgument MiningA Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit
Bioethical debates increasingly unfold on social media, yet stance detection research lacks large-scale, domain-specific resources for modeling such context-dependent discourse. We present BioStance, a context-aware data…
Stance DetectionArgument MiningCAF-Gen: A Multi-Agent System for Enriching Argumentation Structures
Formalizing complex reasoning from natural text is one of the central challenges in computational linguistics. It requires systems to understand not just keywords but also the context and complex reasoning embedded in a …
Argument MiningPRISM: A Multi-Dimensional Benchmark for Evaluating LLM Peer Reviewers
The rapid growth in submissions to machine learning venues has strained the scientific peer-review system and intensified interest in LLM-based automated peer reviewers. However, how good these systems are actually, espe…
Argument MiningGenerating Legal Commentaries from Case Databases via Retrieval, Clustering, and Generation
We present a fully automated pipeline that transforms large collections of court decisions into legal commentaries for statutes - without providing any handcrafted doctrinal framework. Using 4.555 decisions of the German…
Legal ReasoningArgument MiningAn LLM-Based System for Argument Mining
Arguments are a fundamental aspect of human reasoning, in which claims are supported, challenged, and weighed against one another. We present an end-to-end large language model (LLM)-based system for reconstructing argum…
Argument MiningA Reflective Storytelling Agent for Older Adults: Integrating Argumentation Schemes and Argument Mining in LLM-Based Personalised Narratives
This work investigates whether knowledge-driven large language model (LLM)-based storytelling can support purposeful narrative interaction with a digital companion for older adults. To address known limitations of LLMs, …
Knowledge GraphsArgument MiningStructural Dilemmas and Developmental Pathways of Legal Argument Mining in the Era of Artificial Intelligence
Against the backdrop of rapid advances in artificial intelligence, legal argument mining has emerged as an important research area linking legal texts with intelligent analysis, carrying significant theoretical and pract…
Domain AdaptationArgument MiningMulti-Agent Dialectical Refinement for Enhanced Argument Classification
Argument Mining (AM) is a foundational technology for automated writing evaluation, yet traditional supervised approaches rely heavily on expensive, domain-specific fine-tuning. While Large Language Models (LLMs) offer a…
Component ClassificationArgument MiningArgument Mining as a Text-to-Text Generation Task
Argument Mining(AM) aims to uncover the argumentative structures within a text. Previous methods require several subtasks, such as span identification, component classification, and relation classification. Consequently,…
Component ClassificationRelation ClassificationText GenerationArgument MiningLAMUS: A Large-Scale Corpus for Legal Argument Mining from U.S. Caselaw using LLMs
Legal argument mining aims to identify and classify the functional components of judicial reasoning, such as facts, issues, rules, analysis, and conclusions. Progress in this area is limited by the lack of large-scale, h…
Sentence ClassificationArgument MiningGuidelines for the Annotation and Visualization of Legal Argumentation Structures in Chinese Judicial Decisions
This Guideline presents a systematic and operationalizable annotation framework for representing legal argumentation structures in judicial decisions. Grounded in theories of legal reasoning and argumentation, the framew…
Legal ReasoningArgument MiningDEBISS: a Corpus of Individual, Semi-structured and Spoken Debates
The process of debating is essential in our daily lives, whether in studying, work activities, simple everyday discussions, political debates on TV, or online discussions on social networks. The range of uses for debates…
Speaker DiarizationArgument MiningLLM-based Argument Mining meets Argumentation and Description Logics: a Unified Framework for Reasoning about Debates
Large Language Models (LLMs) achieve strong performance in analyzing and generating text, yet they struggle with explicit, transparent, and verifiable reasoning over complex texts such as those containing debates. In par…
Argument MiningA comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2
Argument mining (AM) is an interdisciplinary research field focused on the automatic identification and classification of argumentative components, such as claims and premises, and the relationships between them. Recent …
Argument MiningSmall LLMs for Medical NLP: a Systematic Analysis of Few-Shot, Constraint Decoding, Fine-Tuning and Continual Pre-Training in Italian
Large Language Models (LLMs) consistently excel in diverse medical Natural Language Processing (NLP) tasks, yet their substantial computational requirements often limit deployment in real-world healthcare settings. In th…
Continual PretrainingRelation ExtractionQuestion AnsweringArgument MiningTruthStance: An Annotated Dataset of Conversations on Truth Social
Argument mining and stance detection are central to understanding how opinions are formed and contested in online discourse. However, most publicly available resources focus on mainstream platforms such as Twitter and Re…
Stance DetectionArgument MiningMining Legal Arguments to Study Judicial Formalism
Courts must justify their decisions, but systematically analyzing judicial reasoning at scale remains difficult. This study tests claims about formalistic judging in Central and Eastern Europe (CEE) by developing automat…
Argument Mining