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 51–75 of 284 papers

TitleStatusHype
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining—0
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Argument Relation Classification Using a Joint Inference Model—0
Argument Summarization and its Evaluation in the Era of Large Language Models—0
Argument Component Classification for Classroom Discussions—0
A Robustness Evaluation Framework for Argument Mining—0
A Preliminary Study of Disputation Behavior in Online Debating Forum—0
Cross-topic Argument Mining from Heterogeneous Sources—0
Advances in Debating Technologies: Building AI That Can Debate Humans—0
Assisted Debate Builder with Large Language Models—0
Argumentative texts and clause types—0
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining—0
Analyzing Argumentative Discourse Units in Online Interactions—0
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets—0
A Corpus of eRulemaking User Comments for Measuring Evaluability of Arguments—0
Context-aware Argumentative Relation Mining—0
Contextual Argument Component Classification for Class Discussions—0
Can Large Language Models perform Relation-based Argument Mining?—0
Can Domain Pre-training Help Interdisciplinary Researchers from Data Annotation Poverty? A Case Study of Legal Argument Mining with BERT-based Transformers—0
Argumentation Synthesis following Rhetorical Strategies—0
Building an Argument Search Engine for the Web—0
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning—0
Budget Argument Mining Dataset Using Japanese Minutes from the National Diet and Local Assemblies—0
Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus—0
Argumentation Quality Assessment: Theory vs. Practice—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified