SOTAVerified

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

Showing 301343 of 343 papers

TitleStatusHype
Automatic detection of stance towards vaccination in online discussion forums0
Cross-lingual Flames Detection in News Discussions0
Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes0
Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus0
Fake news stance detection using stacked ensemble of classifiers0
Unsupervised Detection of Argumentative Units though Topic Modeling Techniques0
Human Centered NLP with User-Factor Adaptation0
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features0
IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification0
OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields0
Joint Named Entity Recognition and Stance Detection in Tweets0
A simple but tough-to-beat baseline for the Fake News Challenge stance detection taskCode0
Stance Detection in Turkish Tweets0
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization0
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTMCode0
Stance Detection in Facebook Posts of a German Right-wing Party0
A Dataset for Multi-Target Stance Detection0
Performing Stance Detection on Twitter Data using Computational Linguistics Techniques0
Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets0
Stance detection in online discussions0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets0
Active learning for detection of stance components0
Detecting Stance in Tweets And Analyzing its Interaction with Sentiment0
Stance Detection with Bidirectional Conditional EncodingCode0
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance DetectionCode0
IDI@NTNU at SemEval-2016 Task 6: Detecting Stance in Tweets Using Shallow Features and GloVe Vectors for Word Representation0
Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection0
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases0
SemEval-2016 Task 6: Detecting Stance in Tweets0
pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection0
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers0
USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders0
JU\_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines0
UWB at SemEval-2016 Task 6: Stance Detection0
IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter0
ECNU at SemEval 2016 Task 6: Relevant or Not? Supportive or Not? A Two-step Learning System for Automatic Detecting Stance in Tweets0
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets0
CU-GWU Perspective at SemEval-2016 Task 6: Ideological Stance Detection in Informal Text0
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best--Worst Scaling0
Building Chinese Affective Resources in Valence-Arousal Dimensions0
Stance and Sentiment in Tweets0
Pedagogical stances and their multimodal signals.0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RGTAcc87.8Unverified
2Simple-HGNAcc85.3Unverified
3GCNAcc82.4Unverified
4GATAcc82.2Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF166.58Unverified
2Kochkina et al. 2017Accuracy0.78Unverified
3Bahuleyan and Vechtomova 2017Accuracy0.78Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF183.17Unverified
2Transition MatrixF177.76Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF164.82Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF162.79Unverified
#ModelMetricClaimedVerifiedStatus
1BanglaBERT-DhoroniAccuracy0.64Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF182.1Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF156.97Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF188.06Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF163.96Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF183.11Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF152.76Unverified
#ModelMetricClaimedVerifiedStatus
1COLA+GPT3.5Average F183.4Unverified
#ModelMetricClaimedVerifiedStatus
1BoostingF10.87Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF164.71Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF158.72Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF178.61Unverified
#ModelMetricClaimedVerifiedStatus
1BERTAverage F166Unverified
#ModelMetricClaimedVerifiedStatus
1MUSE + UMAP (Unsupervised)Avg F10.86Unverified
#ModelMetricClaimedVerifiedStatus
1MUSE + UMAP (Unsupervised)Avg F10.84Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF157.47Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF170.98Unverified