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Argument Mining
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection
LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments
Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Method
Exploring new Approaches for Information Retrieval through Natural Language Processing
Argument Summarization and its Evaluation in the Era of Large Language Models
Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment
Synthetic generation of 2D data records based on Autoencoders
Localization of Seizure Onset Zone based on Spatio-Temporal Independent Component Analysis on fMRI
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration
Automatic EEG Independent Component Classification Using ICLabel in Python
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents
Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals
Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation
KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Mining
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques
Overview of the CAIL 2023 Argument Mining Track
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
A Generative Marker Enhanced End-to-End Framework for Argument Mining
In-Context Learning and Fine-Tuning GPT for Argument Mining
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
Assisted Debate Builder with Large Language Models
DMON: A Simple yet Effective Approach for Argument Structure Learning
WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining
QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning
Are Large Language Models Reliable Argument Quality Annotators?
DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector
VoltaVision: A Transfer Learning model for electronic component classification
A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents
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