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Semeval-2016 task 5: Aspect based sentiment analysis

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Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation., , , , , , , , and . SemEval@NAACL-HLT, page 155-163. The Association for Computer Linguistics, (2016)Universal Dependencies for Greek., and . UDW@NoDaLiDa, page 102-106. Association for Computational Linguistics, (2017)Argumentation Mining in Scientific Literature for Sustainable Development., , , and . ArgMining@EMNLP, page 100-111. Association for Computational Linguistics, (2021)ATHENA@CL-SciSumm 2019: Siamese recurrent bi-directional neural network for identifying cited text spans., , and . BIRNDL@SIGIR, volume 2414 of CEUR Workshop Proceedings, page 256-262. CEUR-WS.org, (2019)"Just the Facts" with PALOMAR: Detecting Protest Events in Media Outlets and Twitter., , , , and . SMN@ICWSM, volume WS-16-19 of AAAI Workshops, AAAI Press, (2016)Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations., , , , and . Database J. Biol. Databases Curation, (2018)SemEval-2016 Task 5: Aspect Based Sentiment Analysis., , , , , , , , , and 8 other author(s). SemEval@NAACL-HLT, page 19-30. The Association for Computer Linguistics, (2016)Smart Cities in Stars: Food Perceptions and Beyond., , , , , , and . INSCI, volume 10673 of Lecture Notes in Computer Science, page 174-183. Springer, (2017)Research & Innovation Activities' Impact Assessment: The Data4Impact System., , , and . LT4Gov@LREC, page 22-27. European Language Resources Association, (2020)Semeval-2016 task 5: Aspect based sentiment analysis, , , , , , , , , and 1 other author(s). Proceedings of the 10th international workshop on semantic evaluation (SemEval-2016), page 19--30. (2016)