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SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums.

, , and . SemEval@NAACL-HLT, page 877-887. Association for Computational Linguistics, (2019)

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Taxonomy Extraction for Customer Service Knowledge Base Construction., , , , , and . SEMANTiCS, volume 11702 of Lecture Notes in Computer Science, page 175-190. Springer, (2019)Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification., and . WASSA@EMNLP, page 107-115. Association for Computational Linguistics, (2018)A multi-source entity-level sentiment corpus for the financial domain: the FinLin corpus.. Lang. Resour. Evaluation, 56 (1): 333-356 (2022)SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News., , , , , , and . SemEval@ACL, page 519-535. Association for Computational Linguistics, (2017)SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums., , and . SemEval@NAACL-HLT, page 877-887. Association for Computational Linguistics, (2019)In or Out? Real-Time Monitoring of BREXIT sentiment on Twitter., , , , , , , , , and 2 other author(s). SEMANTiCS (Posters, Demos, SuCCESS), volume 1695 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)