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 141–150 of 284 papers

TitleStatusHype
What works and what does not: Classifier and feature analysis for argument mining—0
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction—0
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
TACAM: Topic And Context Aware 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified