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conftrace_

stance detection

278 papers

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Also known as

SD

Co-occurring keywords · papers mentioning both

text classification (101) sentiment analysis (43) large language model (36) social media analysis (35) zero-shot learning (29) social media (23) argument mining (20) multi-task learning (17) natural language processing (16) misinformation detection (13)

Papers

Tanbih: Get To Know What You Are Reading EMNLP 2019 Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes NAACL 2019 Tweet Stance Detection Using an Attention based Neural Ensemble Model NAACL 2019 360° Stance Detection NAACL 2018 A Retrospective Analysis of the Fake News Challenge Stance-Detection Task COLING 2018 Automatic Stance Detection Using End-to-End Memory Networks NAACL 2018 Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates EMNLP 2018 Integrating Stance Detection and Fact Checking in a Unified Corpus NAACL 2018 Predicting Stances from Social Media Posts using Factorization Machines COLING 2018 Retrieval of the Best Counterargument without Prior Topic Knowledge ACL 2018 Stance Detection in Fake News A Combined Feature Representation EMNLP 2018 Stance Detection with Hierarchical Attention Network COLING 2018 Stance-Taking in Topics Extracted from Vaccine-Related Tweets and Discussion Forum Posts EMNLP 2018 Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles EMNLP 2018 Understanding the Effect of Gender and Stance in Opinion Expression in Debates on “Abortion” NAACL 2018 A Multidimensional Lexicon for Interpersonal Stancetaking ACL 2017 DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics SemEval 2017 Exploring Dynamic Measures of Stance in Spoken Interaction Interspeech 2017 Human Centered NLP with User-Factor Adaptation EMNLP 2017 IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation SemEval 2017 Inferring Stance from Prosody Interspeech 2017 Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization ACL 2017 SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours SemEval 2017 UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features SemEval 2017 “All I know about politics is what I read in Twitter”: Weakly Supervised Models for Extracting Politicians’ Stances From Twitter COLING 2016