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Identification of Good and Bad News on Twitter., и . RANLP, стр. 9-17. INCOMA Ltd., (2019)SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours., , , , , , и . SemEval@NAACL-HLT, стр. 845-854. Association for Computational Linguistics, (2019)UDE at eRisk 2019: Early Risk Prediction on the Internet., , и . CLEF (Working Notes), том 2380 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)'A Modern Up-To-Date Laptop' - Vagueness in Natural Language Queries for Product Search., , , , , и . Conference on Designing Interactive Systems, стр. 2077-2089. ACM, (2020)What works and what does not: Classifier and feature analysis for argument mining., , , , , , и . ArgMining@EMNLP, стр. 91-96. Association for Computational Linguistics, (2017)Anorexia Topical Trends in Self-declared Reddit Users., , , , и . CIRCLE, том 2621 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)The Impact of Twitter Features on Credibility Ratings - An Explorative Examination Combining Psychological Measurements and Feature Based Selection Methods., , и . HICSS, стр. 1-10. ScholarSpace, (2019)Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network., и . FEVER@EMNLP, стр. 114-118. Association for Computational Linguistics, (2018)Creating Comparable Corpora through Topic Mappings., и . BUCC@LREC, European Language Resources Association, (2018)Third International Workshop on Recent Trends in News Information Retrieval (NewsIR'19)., , , , , , и . SIGIR, стр. 1429-1431. ACM, (2019)