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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 326–343 of 343 papers

Title	Date	Tasks	Status	Hype
IDI@NTNU at SemEval-2016 Task 6: Detecting Stance in Tweets Using Shallow Features and GloVe Vectors for Word Representation	Jun 1, 2016	Sentiment AnalysisStance Detection	—Unverified	0
Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection	Jun 1, 2016	Stance DetectionText Classification	—Unverified	0
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases	Jun 1, 2016	Sentiment AnalysisStance Detection	—Unverified	0
SemEval-2016 Task 6: Detecting Stance in Tweets	Jun 1, 2016	Information RetrievalNatural Language Inference	—Unverified	0
pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection	Jun 1, 2016	Sentence ClassificationStance Detection	—Unverified	0
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers	Jun 1, 2016	Stance Detection	—Unverified	0
USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders	Jun 1, 2016	Natural Language InferenceSentiment Analysis	—Unverified	0
JU\_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines	Jun 1, 2016	Information RetrievalNatural Language Inference	—Unverified	0
UWB at SemEval-2016 Task 6: Stance Detection	Jun 1, 2016	Natural Language InferenceOpinion Mining	—Unverified	0
IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter	Jun 1, 2016	Sentiment AnalysisStance Detection	—Unverified	0
ECNU at SemEval 2016 Task 6: Relevant or Not? Supportive or Not? A Two-step Learning System for Automatic Detecting Stance in Tweets	Jun 1, 2016	Feature EngineeringSentiment Analysis	—Unverified	0
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets	Jun 1, 2016	Opinion MiningSentiment Analysis	—Unverified	0
CU-GWU Perspective at SemEval-2016 Task 6: Ideological Stance Detection in Informal Text	Jun 1, 2016	Sentiment AnalysisStance Detection	—Unverified	0
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble	Jun 1, 2016	General ClassificationStance Classification	—Unverified	0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best--Worst Scaling	Jun 1, 2016	Sentiment AnalysisStance Detection	—Unverified	0
Building Chinese Affective Resources in Valence-Arousal Dimensions	Jun 1, 2016	Aspect-Based Sentiment Analysis (ABSA)Sentiment Analysis	—Unverified	0
Stance and Sentiment in Tweets	May 5, 2016	General ClassificationStance Classification	—Unverified	0
Pedagogical stances and their multimodal signals.	May 1, 2012	PositionStance 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