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 251–275 of 284 papers

TitleStatusHype
Context-aware Argumentative Relation Mining—0
Unshared Task at the 3rd Workshop on Argument Mining: Perspective Based Local Agreement and Disagreement in Online Debate—0
Unshared task: (Dis)agreement in online debates—0
Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews—0
Summarising the points made in online political debates—0
Summarizing Multi-Party Argumentative Conversations in Reader Comment on News—0
Recognizing the Absence of Opposing Arguments in Persuasive Essays—0
Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms—0
The CASS Technique for Evaluating the Performance of Argument Mining—0
Identifying Argument Components through TextRank—0
Expert Stance Graphs for Computational Argumentation—0
Proceedings of the Third Workshop on Argument Mining (ArgMining2016)—0
Claim Synthesis via Predicate Recycling—0
A Preliminary Study of Disputation Behavior in Online Debating Forum—0
Towards Feasible Guidelines for the Annotation of Argument Schemes—0
Argumentation: Content, Structure, and Relationship with Essay Quality—0
Argumentative texts and clause types—0
``What Is Your Evidence?'' A Study of Controversial Topics on Social Media—0
Scrutable Feature Sets for Stance Classification—0
Rhetorical structure and argumentation structure in monologue text—0
Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates—0
What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld—0
End-to-End Argumentation Mining in Student Essays—0
A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues—0
Argument Mining: the Bottleneck of Knowledge and Language Resources—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified