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Cleaning up toxic waste: Removing nefarious contributions to recommendation systems., , , , , и . ICASSP, стр. 6571-6575. IEEE, (2013)DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks., , , , , и . MoMM, стр. 20-27. ACM, (2019)Making Headlines in Hindi: Automatic English to Hindi News Headline Translation., , , и . IJCNLP, стр. 21-24. Asian Federation of Natural Language Processing / ACL, (2013)SIEL: Aspect Based Sentiment Analysis in Reviews., , и . SemEval@NAACL-HLT, стр. 759-766. The Association for Computer Linguistics, (2015)Supporting student motivation through Social Comparison.. EC-TEL (Doctoral Consortium), том 3292 из CEUR Workshop Proceedings, стр. 22-29. CEUR-WS.org, (2022)Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm., , , и . WASSA@EMNLP, стр. 25-30. The Association for Computer Linguistics, (2015)Are Word Embedding-based Features Useful for Sarcasm Detection?, , , , и . EMNLP, стр. 1006-1011. The Association for Computational Linguistics, (2016)Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation., , , и . AAAI, стр. 5095-5096. AAAI Press, (2017)Measuring Sentiment Annotation Complexity of Text., , , и . ACL (2), стр. 36-41. The Association for Computer Linguistics, (2014)Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text., , , и . COLING, стр. 2482-2491. ACL, (2016)