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NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning.

, , , , , , , and . SemEval@NAACL-HLT, page 245-255. Association for Computational Linguistics, (2018)

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NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs., , , , , , and . SemEval@NAACL-HLT, page 613-621. Association for Computational Linguistics, (2018)NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention., , , , , and . SemEval@NAACL-HLT, page 438-444. Association for Computational Linguistics, (2018)European Language Grid: A Joint Platform for the European Language Technology Community., , , , , , , , , and 26 other author(s). EACL (System Demonstrations), page 221-230. Association for Computational Linguistics, (2021)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)Lexical and affective models in early acquisition of semantics., , and . WOCCI, page 40-45. ISCA, (2017)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)NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning., , , , , , , and . SemEval@NAACL-HLT, page 245-255. Association for Computational Linguistics, (2018)Common European Language Data Space., , , , , , , , , and 13 other author(s). LREC/COLING, page 3579-3586. ELRA and ICCL, (2024)