Automatic Stance Detection Using End-to-End Memory Networks

Keywords

End-to-end principle, Paragraph, Computer science, Convolutional neural network, Artificial intelligence

References

• Convolutional, Long Short-Term Memory, fully connected Deep Neural NetworksTara N. Sainath, Oriol Vinyals, Andrew Senior — 2015
• End-To-End Memory NetworksSainbayar Sukhbaatar, Arthur Szlam, Jason Weston — 2015
• Convolutional recurrent neural networks: Learning spatial dependencies for image representationZhen Zuo, Bing Shuai, Gang Wang — 2015
• Long-term recurrent convolutional networks for visual recognition and descriptionJeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama — 2014
• Detecting Check-worthy Factual Claims in Presidential DebatesNaeemul Hassan, Chengkai Li, Mark Tremayne — 2015
• Information credibility on twitterCarlos Castillo, Marcelo Mendoza, Bárbara Poblete — 2011
• Answer Credibility: A Language Modeling Approach to Answer ValidationProtima Banerjee, Hyoil Han — 2009
• IDF term weighting and IR research lessonsKaren Spärck Jones — 2004
• GloVe: Global Vectors for Word RepresentationJeffrey Pennington, Richard Socher, Christopher D. Manning — 2014
• Fact Checking: Task definition and dataset constructionAndreas Vlachos, Sebastian Riedel — 2014
• Finding Opinion Manipulation Trolls in News Community ForumsTodor Mihaylov, Georgi Georgiev, Preslav Nakov — 2015
• Maxout NetworksIan Goodfellow, David Warde-Farley, Mehdi Mirza — 2013
• Exposing Paid Opinion Manipulation TrollsTodor Mihaylov, Ivan Koychev, Georgi Georgiev — 2015
• MITRE at SemEval-2016 Task 6: Transfer Learning for Stance DetectionGuido Zarrella, Amy Marsh — 2016
• SemEval-2016 Task 6: Detecting Stance in TweetsSaif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani — 2016
• Hunting for Troll Comments in News Community ForumsTodor Mihaylov, Preslav Nakov — 2016
• Improved Representation Learning for Question Answer MatchingMing Tan, Cícero dos Santos, Bing Xiang — 2016
• Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media ConversationsArkaitz Zubiaga, Elena Kochkina, Maria Liakata — 2016
• Where the Truth Lies: Explaining the Credibility of Emerging Claims on the Web and Social MediaKashyap Popat, Subhabrata Mukherjee, Jannik Strötgen — 2017
• A simple but tough-to-beat baseline for the Fake News Challenge stance detection taskBenjamin Riedel, Isabelle Augenstein, Georgios Spithourakis — 2017

Cited by

• Integrating Stance Detection and Fact Checking in a Unified CorpusRamy Baly, Mitra Mohtarami, James Glass — 2018
• The dark side of news community forums: opinion manipulation trollsTodor Mihaylov, Tsvetomila Mihaylova, Preslav Nakov — 2018
• When social media traumatizes teens: The roles of online risk exposure, coping, and post-traumatic stressBridget McHugh, Pamela Wiśniewski, Mary Beth Rosson — 2018
• Predicting Factuality of Reporting and Bias of News Media SourcesRamy Baly, Georgi Karadzhov, Dimitar Alexandrov — 2018
• Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake NewsLuís Borges, Bruno Martins, Pável Calado — 2018
• A Topic-Aware Reinforced Model for Weakly Supervised Stance DetectionPenghui Wei, Wenji Mao, Guandan Chen — 2019
• Efficient Large-Scale Stance Detection in TweetsYilin Yan, Jonathan H. Chen, Mei‐Ling Shyu — 2018
• Can Siamese Networks help in stance detection?T. Y. S. S Santosh, Srijan Bansal, Avirup Saha — 2019
• Adversarial Domain Adaptation for Stance DetectionBrian Xu, Mitra Mohtarami, James Glass — 2019
• From Stances' Imbalance to Their HierarchicalRepresentation and DetectionQiang Zhang, Shangsong Liang, Aldo Lipani — 2019
• Unsupervised User Stance Detection on TwitterKareem Darwish, Peter Stefanov, Michaël Aupetit — 2019
• BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional TransformersMartin Fajčík, Pavel Smrž, Lukáš Burget — 2019
• Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News DetectionAbdelrhman Saleh, Ramy Baly, Alberto Barrón‐Cedeño — 2019
• Memory-Attended Recurrent Network for Video CaptioningWenjie Pei, Jiyuan Zhang, Xiangrong Wang — 2019
• Big Data and quality data for fake news and misinformation detectionFatemeh Torabi Asr, Maite Taboada — 2019
• FAKTA: An Automatic End-to-End Fact Checking SystemMoin Nadeem, Wei Fang, Brian Xu — 2019
• Automatic Fact-Checking Using Context and Discourse InformationPepa Atanasova, Preslav Nakov, Lluís Màrquez — 2019
• Modeling Transferable Topics for Cross-Target Stance DetectionPenghui Wei, Wenji Mao — 2019
• The Data Challenge in Misinformation Detection: Source Reputation vs. Content VeracityFatemeh Torabi Asr, Maite Taboada — 2018
• Combating fake news with adversarial domain adaptation and neural modelsBrian Xu — 2019

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