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Stance Detection

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 211–220 of 343 papers

Title	Date	Tasks	Status	Hype
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse	Mar 5, 2024	Opinion MiningStance Detection	—Unverified	0
SemEval-2016 Task 6: Detecting Stance in Tweets	Jun 1, 2016	Information RetrievalNatural Language Inference	—Unverified	0
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases	Jun 1, 2016	Sentiment AnalysisStance Detection	—Unverified	0
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter	Jan 28, 2021	Stance Detection	—Unverified	0
Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017	Mar 18, 2018	Sentiment AnalysisStance Detection	—Unverified	0
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19	Oct 1, 2022	Argument MiningStance Detection	—Unverified	0
Singlish Message Paraphrasing: A Joint Task of Creole Translation and Text Normalization	Oct 1, 2022	Stance DetectionText Normalization	—Unverified	0
SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media	Mar 8, 2024	Few-Shot Stance DetectionStance Detection	—Unverified	0
SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions	Apr 11, 2024	Active LearningStance Detection	—Unverified	0
SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection	Oct 1, 2022	SentenceStance Detection	—Unverified	0

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All datasets MGTAB RumourEval FNC-1 ARC (AI2 Reasoning Challenge)argmin Dhoroni emergent iac1 ibmcs mtsd Perspectrum poldeb

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RGT	Acc	87.8	—	Unverified
2	Simple-HGN	Acc	85.3	—	Unverified
3	GCN	Acc	82.4	—	Unverified
4	GAT	Acc	82.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	66.58	—	Unverified
2	Kochkina et al. 2017	Accuracy	0.78	—	Unverified
3	Bahuleyan and Vechtomova 2017	Accuracy	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	83.17	—	Unverified
2	Transition Matrix	F1	77.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	64.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	62.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BanglaBERT-Dhoroni	Accuracy	0.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	82.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	56.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	88.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	63.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	83.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	52.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	COLA+GPT3.5	Average F1	83.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Boosting	F1	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	64.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	58.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	78.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT	Average F1	66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MUSE + UMAP (Unsupervised)	Avg F1	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MUSE + UMAP (Unsupervised)	Avg F1	0.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	57.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	70.98	—	Unverified