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DCU: Aspect-based Polarity Classification for SemEval Task 4.

, , , , , , and . SemEval@COLING, page 223-229. The Association for Computer Linguistics, (2014)

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Mining Sentiments from Tweets., , , , , and . WASSA@ACL, page 11-18. The Association for Computer Linguistics, (2012)Challenges in the Development of Effective Systems for Professional Legal Search., , , , and . ProfS/KG4IR/Data:Search@SIGIR, volume 2127 of CEUR Workshop Proceedings, page 29-34. CEUR-WS.org, (2018)DCU-Lingo24 Participation in WMT 2014 Hindi-English Translation task., , , , , and . WMT@ACL, page 215-220. The Association for Computer Linguistics, (2014)How do Users Perceive Information: Analyzing User Feedback while Annotating Textual Units., and . SCST@CHIIR, volume 1798 of CEUR Workshop Proceedings, page 7-10. CEUR-WS.org, (2017)user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code., , , and . LAK, page 86-95. ACM, (2019)The Good, the Bad and their Kins: Identifying Questions with Negative Scores in StackOverflow., , and . ASONAM, page 1232-1239. ACM, (2015)DCU-SEManiacs at SemEval-2016 Task 1: Synthetic Paragram Embeddings for Semantic Textual Similarity., and . SemEval@NAACL-HLT, page 656-662. The Association for Computer Linguistics, (2016)Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification., , and . LREC, page 1189-1196. European Language Resources Association (ELRA), (2012)Position Paper: Promoting User Engagement and Learning in Search Tasks By Effective Document Representation., and . SAL@SIGIR, volume 1647 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)A Comparative Study of Online Translation Services for Cross Language Information Retrieval., , , and . WWW (Companion Volume), page 859-864. ACM, (2015)