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 71–80 of 284 papers

TitleStatusHype
Transfer Learning of Lexical Semantic Families for Argumentative Discourse Units Identification—0
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument MiningCode1
EDU-AP: Elementary Discourse Unit based Argument ParserCode0
AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments—0
Mining Legal Arguments in Court DecisionsCode1
A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case StudyCode0
Don’t Drop the Topic - The Role of the Prompt in Argument Identification in Student WritingCode0
RuArg-2022: Argument Mining Evaluation—0
The Sensitivity of Annotator Bias to Task Definitions in Argument MiningCode0
Incorporating Zoning Information into Argument Mining from Biomedical Literature—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified