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SotA/Natural Language Processing/Stance Detection

Stance Detection

33 benchmarks343 papers

Stance detection is the extraction of a subject's reaction to a claim made by a primary actor. It is a core part of a set of approaches to fake news assessment.

Example:

  • Source: "Apples are the most delicious fruit in existence"
  • Reply: "Obviously not, because that is a reuben from Katz's"
  • Stance: deny

Benchmarks

Stance Detection on MGTAB

AccF1

Stance Detection on FNC-1

F1

Stance Detection on RumourEval

AccuracyF1

Stance Detection on Twitter Stance Election 2020

Average F1

Stance Detection on ARC (AI2 Reasoning Challenge)

F1

Stance Detection on Dhoroni

AccuracyF1 ScorePrecisionRecall

Stance Detection on P-Stance

Average F1

Stance Detection on Perspectrum

F1

Stance Detection on RuStance

F1

Stance Detection on SCD

F1

Stance Detection on SemEval 2019

F1

Stance Detection on Snopes

F1

Stance Detection on Trump Midterm Elections 2018

Avg F1Macro PrecisionMacro Recall

Stance Detection on Turkish Elections 2018

Avg F1Macro PrecisionMacro Recall

Stance Detection on VAST

F1

Stance Detection on argmin

F1

Stance Detection on emergent

F1

Stance Detection on iac1

F1

Stance Detection on ibmcs

F1

Stance Detection on mtsd

F1

Stance Detection on poldeb

F1

Stance Detection on wtwt

F1

Stance Detection on STEDUCOV: A DATASET ON STANCE DETECTION IN TWEETS TOWARDS ONLINE EDUCATION DURING COVID-19 PANDEMIC

Average F1Accuracy (10-fold)