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Fuzzy identification of a greenhouse., , , and . Appl. Soft Comput., 7 (3): 1092-1101 (2007)Automatic Dialogue Generation with Expressed Emotions., , , and . NAACL-HLT (2), page 49-54. Association for Computational Linguistics, (2018)Contrastive Reasons Detection and Clustering from Online Polarized Debates., and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 181-198. Springer, (2019)An ensemble framework with $l_21$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction., , , , , , and . BIBM, page 1436-1442. IEEE, (2019)Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease., , , , , , and . BIBM, page 1-5. IEEE, (2019)Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems., , and . RANLP, page 1031-1040. INCOMA Ltd., (2019)ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION)., , , and . SemEval@COLING, page 367-373. International Committee for Computational Linguistics, (2020)Learning Representations through Contrastive Strategies for a more Robust Stance Detection., , and . DSAA, page 1-9. IEEE, (2023)Seq2Emo: A Sequence to Multi-Label Emotion Classification Model., , , , , and . NAACL-HLT, page 4717-4724. Association for Computational Linguistics, (2021)The Emotional Machine: A Machine Learning Approach to Online Prediction of User's Emotion and Intensity., and . ICALT, page 613-617. IEEE Computer Society, (2010)