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 231–240 of 284 papers

TitleStatusHype
Budget Argument Mining Dataset Using Japanese Minutes from the National Diet and Local Assemblies—0
Building an Argument Search Engine for the Web—0
Can Domain Pre-training Help Interdisciplinary Researchers from Data Annotation Poverty? A Case Study of Legal Argument Mining with BERT-based Transformers—0
Can Large Language Models perform Relation-based Argument Mining?—0
Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus—0
Challenges of Argument Mining: Generating an Argument Synthesis based on the Qualia Structure—0
Claim Synthesis via Predicate Recycling—0
Combining Argument Mining Techniques—0
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets—0
Context-aware Argumentative Relation Mining—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified