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 71–80 of 284 papers

TitleStatusHype
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts—0
Multi-granularity Argument Mining in Legal Texts—0
Multimodal Argument Mining: A Case Study in Political DebatesCode0
Is Your Perspective Also My Perspective? Enriching Prediction with SubjectivityCode0
A Robustness Evaluation Framework for Argument Mining—0
QualiAssistant: Extracting Qualia Structures from Texts—0
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19—0
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Predicting the Presence of Reasoning Markers in Argumentative Text—0
On Selecting Training Corpora for Cross-Domain Claim Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified