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Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter.

, , , , , , , , , and . SemEval@ACL, page 675-682. Association for Computational Linguistics, (2017)

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Argumentation Mining in Scientific Literature for Sustainable Development., , , and . ArgMining@EMNLP, page 100-111. Association for Computational Linguistics, (2021)Universal Dependencies for Greek., and . UDW@NoDaLiDa, page 102-106. Association for Computational Linguistics, (2017)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)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)"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)Research & Innovation Activities' Impact Assessment: The Data4Impact System., , , and . LT4Gov@LREC, page 22-27. European Language Resources Association, (2020)Smart Cities in Stars: Food Perceptions and Beyond., , , , , , and . INSCI, volume 10673 of Lecture Notes in Computer Science, page 174-183. Springer, (2017)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)Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection., , , and . EACL (1), page 2540-2554. Association for Computational Linguistics, (2024)