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SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours.

, , , , , , and . SemEval@NAACL-HLT, page 845-854. Association for Computational Linguistics, (2019)

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Using @Twitter Conventions to Improve #LOD-Based Named Entity Disambiguation., , and . ESWC, volume 9088 of Lecture Notes in Computer Science, page 171-186. Springer, (2015)Adding intelligent help to mixed-initiative spoken dialogue systems., , and . INTERSPEECH, ISCA, (2002)Classifying Twitter favorites: Like, bookmark, or Thanks?, and . J. Assoc. Inf. Sci. Technol., 67 (1): 17-25 (2016)Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online Debate., , , , , and . CoRR, (2019)CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital., , , , , , , , , and 5 other author(s). BMC Med. Inf. & Decision Making, 18 (1): 47:1-47:13 (2018)SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours., , , , , , and . SemEval@NAACL-HLT, page 845-854. Association for Computational Linguistics, (2019)UFPRSheffield: Contrasting Rule-based and Support Vector Machine Approaches to Time Expression Identification in Clinical TempEval., , , , and . SemEval@NAACL-HLT, page 835-839. The Association for Computer Linguistics, (2015)Using statistical language modelling to identify new vocabulary in a grammar-based speech recognition system.. INTERSPEECH, ISCA, (2003)ResToRinG CaPitaLiZaTion in #TweeTs., , and . WWW (Companion Volume), page 1111-1115. ACM, (2015)Analysis of named entity recognition and linking for tweets., , , , , , , and . Inf. Process. Manage., 51 (2): 32-49 (2015)