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 181–190 of 284 papers

TitleStatusHype
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Cross-Lingual Argumentative Relation Identification: from English to PortugueseCode0
ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific WritingCode0
Using context to identify the language of face-saving—0
Annotating Claims in the Vaccination Debate—0
Incorporating Topic Aspects for Online Comment Convincingness Evaluation—0
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
An Argument-Annotated Corpus of Scientific Publications—0
Dave the debater: a retrieval-based and generative argumentative dialogue agent—0
Proceedings of the 5th Workshop on Argument Mining—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified