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
Building an Argument Search Engine for the Web—0
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning—0
Budget Argument Mining Dataset Using Japanese Minutes from the National Diet and Local Assemblies—0
Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus—0
Challenges of Argument Mining: Generating an Argument Synthesis based on the Qualia Structure—0
Argumentative texts and clause types—0
Argumentation Quality Assessment: Theory vs. Practice—0
Argument Component Classification for Classroom Discussions—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified