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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–260 of 284 papers

TitleStatusHype
Argumentation: Content, Structure, and Relationship with Essay Quality—0
Summarising the points made in online political debates—0
Summarizing Multi-Party Argumentative Conversations in Reader Comment on News—0
Argumentative texts and clause types—0
The CASS Technique for Evaluating the Performance of Argument Mining—0
Neural Attention Model for Classification of Sentences that Support Promoting/Suppressing Relationship—0
Towards Feasible Guidelines for the Annotation of Argument Schemes—0
``What Is Your Evidence?'' A Study of Controversial Topics on Social Media—0
Identifying Argument Components through TextRank—0
Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews—0
Show:102550
← PrevPage 26 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified