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Point Process Modelling of Rumour Dynamics in Social Media
Michal Lukasik
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Trevor Cohn
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Kalina Bontcheva
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes
Michal Lukasik
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P. K. Srijith
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Trevor Cohn
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Kalina Bontcheva
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Classifying Tweet Level Judgements of Rumours in Social Media
Michal Lukasik
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Trevor Cohn
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Kalina Bontcheva
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Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads
Ji He
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Mari Ostendorf
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Xiaodong He
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Jianshu Chen
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Jianfeng Gao
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Lihong Li
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Li Deng
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Learning Kernels over Strings using Gaussian Processes
Daniel Beck
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Trevor Cohn
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Modelling Representation Noise in Emotion Analysis using Gaussian Processes
Daniel Beck
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Integrating Stance Detection and Fact Checking in a Unified Corpus
Ramy Baly
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Mitra Mohtarami
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James Glass
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Lluís Màrquez
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Alessandro Moschitti
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Preslav Nakov
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Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter
Michal Lukasik
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P. K. Srijith
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Duy Vu
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Kalina Bontcheva
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Arkaitz Zubiaga
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Trevor Cohn
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Probabilistic Typology: Deep Generative Models of Vowel Inventories
Ryan Cotterell
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Jason Eisner
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We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind!
Georgi Karadzhov
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Pepa Gencheva
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Preslav Nakov
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Ivan Koychev
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Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums
Preslav Nakov
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Tsvetomila Mihaylova
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Lluís Màrquez
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Yashkumar Shiroya
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Ivan Koychev
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http://github
Field Of Study
Task
Tagging
Machine Translation
Approach
Bayesian Model
Dataset
News
Social Media
Twitter
Blogs
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