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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 231–240 of 284 papers

TitleStatusHype
Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach—0
What works and what does not: Classifier and feature analysis for argument mining—0
200K+ Crowdsourced Political Arguments for a New Chilean Constitution—0
Identifying attack and support argumentative relations using deep learning—0
Argument Mining on Twitter: Arguments, Facts and Sources—0
Patterns of Argumentation Strategies across Topics—0
Argumentation Quality Assessment: Theory vs. Practice—0
A Corpus of Annotated Revisions for Studying Argumentative Writing—0
What is the Essence of a Claim? Cross-Domain Claim IdentificationCode0
Argument Mining with Structured SVMs and RNNsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified