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 241–250 of 284 papers

TitleStatusHype
Assessing Convincingness of Arguments in Online Debates with Limited Number of FeaturesCode0
``PageRank'' for Argument Relevance—0
Defeasible AceRules: A Prototype—0
Here's My Point: Joint Pointer Architecture for Argument Mining—0
A News Editorial Corpus for Mining Argumentation Strategies—0
Using Argument Mining to Assess the Argumentation Quality of Essays—0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets—0
Challenges of Argument Mining: Generating an Argument Synthesis based on the Qualia Structure—0
The SENSEI Annotated Corpus: Human Summaries of Reader Comment Conversations in On-line News—0
Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified