Image de couverture de livre

Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ruiz-Dolz, Ramon, Heras, Stella, García-Fornes, Ana
Format:	Preprint
Publié:	2022
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining
par: Ruiz-Dolz, Ramon, et autres
Publié: (2023)

NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes
par: Ruiz-Dolz, Ramon, et autres
Publié: (2024)

Can LLMs Judge Debates? Evaluating Non-Linear Reasoning via Argumentation Theory Semantics
par: Sanayei, Reza, et autres
Publié: (2025)

Evaluating LLM-Driven Summarisation of Parliamentary Debates with Computational Argumentation
par: Cunningham, Eoghan, et autres
Publié: (2026)

R-Debater: Retrieval-Augmented Debate Generation through Argumentative Memory
par: Li, Maoyuan, et autres
Publié: (2025)

Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks
par: Lin, Jiayu, et autres
Publié: (2024)

Can LLMs Extract Frame-Semantic Arguments?
par: Devasier, Jacob, et autres
Publié: (2025)

"I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language Models
par: de Wynter, Adrian, et autres
Publié: (2023)

Argument Collapse: LLMs Flatten Long-Form Public Debate
par: Kim, Yekyung, et autres
Publié: (2026)

Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation
par: Ben-Naim, Jonathan, et autres
Publié: (2024)

Argument Summarization and its Evaluation in the Era of Large Language Models
par: Altemeyer, Moritz, et autres
Publié: (2025)

A Psycholinguistic Evaluation of Language Models' Sensitivity to Argument Roles
par: Lee, Eun-Kyoung Rosa, et autres
Publié: (2024)

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
par: Zhou, Kevin, et autres
Publié: (2025)

Enhancing Argument Summarization: Prioritizing Exhaustiveness in Key Point Generation and Introducing an Automatic Coverage Evaluation Metric
par: Khosravani, Mohammad, et autres
Publié: (2024)

Can Language Models Recognize Convincing Arguments?
par: Rescala, Paula, et autres
Publié: (2024)

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction
par: Zhang, Jian, et autres
Publié: (2024)

Beyond Holistic Scores: Automatic Trait-Based Quality Scoring of Argumentative Essays
par: Favero, Lucile, et autres
Publié: (2026)

Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Language
par: Das, Nilmadhab, et autres
Publié: (2024)

A Structured Framework for Evaluating and Enhancing Interpretive Capabilities of Multimodal LLMs in Culturally Situated Tasks
par: Yu, Haorui, et autres
Publié: (2025)

Argument-Based Comparative Question Answering Evaluation Benchmark
par: Nikishina, Irina, et autres
Publié: (2025)

Stakeholder Suite: A Unified AI Framework for Mapping Actors, Topics and Arguments in Public Debates
par: Chenene, Mohamed, et autres
Publié: (2025)

ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization
par: Zhao, Xiutian, et autres
Publié: (2024)

Using Large Language Models for (De-)Formalization and Natural Argumentation Exercises for Beginner's Students
par: Carl, Merlin
Publié: (2023)

An Explainable Framework for Misinformation Identification via Critical Question Answering
par: Ruiz-Dolz, Ramon, et autres
Publié: (2025)

End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction
par: Das, Nilmadhab, et autres
Publié: (2025)

Large Language Models in Argument Mining: A Survey
par: Li, Hao, et autres
Publié: (2025)

Exploring the Potential of Large Language Models in Computational Argumentation
par: Chen, Guizhen, et autres
Publié: (2023)

Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation
par: Hu, Zhe, et autres
Publié: (2024)

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments
par: Guida, Matteo, et autres
Publié: (2025)

LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments
par: Aryan, Prakash
Publié: (2024)

OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
par: Roush, Allen, et autres
Publié: (2024)

Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment
par: Favero, Lucile, et autres
Publié: (2025)

AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments
par: Saenger, Till Raphael, et autres
Publié: (2024)

CLEAR: A Comprehensive Linguistic Evaluation of Argument Rewriting by Large Language Models
par: Huber, Thomas, et autres
Publié: (2025)

Detecting Winning Arguments with Large Language Models and Persuasion Strategies
par: Labruna, Tiziano, et autres
Publié: (2026)

Analysis of Argument Structure Constructions in the Large Language Model BERT
par: Ramezani, Pegah, et autres
Publié: (2024)

An LLM-Based System for Argument Mining
par: Pirozelli, Paulo, et autres
Publié: (2026)

Event Argument Extraction with Enriched Prompts
par: Liang, Chen
Publié: (2025)

REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction
par: Sharif, Omar, et autres
Publié: (2025)

Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments
par: Feger, Marc, et autres
Publié: (2025)