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 191–200 of 284 papers

TitleStatusHype
Evidence Type Classification in Randomized Controlled Trials—0
Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment—0
Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured ParaphrasingCode0
Cross-topic Argument Mining from Heterogeneous Sources—0
Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus—0
Categorizing Comparative SentencesCode0
End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture—0
Towards an argumentative content search engine using weak supervision—0
CRST: a Claim Retrieval System in Twitter—0
Argumentation Synthesis following Rhetorical Strategies—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified