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SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations.

, , , , , and . SemEval@NAACL-HLT, page 330-334. Association for Computational Linguistics, (2019)

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Discriminative ridge regression algorithm for adaptation in statistical machine translation., , and . Pattern Anal. Appl., 22 (4): 1293-1305 (2019)Are Automatic Metrics Robust and Reliable in Specic Machine Translation Tasks?, , and . EAMT, page 109-118. (2018)Bilingual Data Selection Using a Continuous Vector-Space Representation., , and . S+SSPR, volume 10029 of Lecture Notes in Computer Science, page 95-106. (2016)SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations., , , , , and . SemEval@NAACL-HLT, page 330-334. Association for Computational Linguistics, (2019)Online optimisation of log-linear weights in interactive machine translation., , , and . LREC, page 3556-3559. European Language Resources Association (ELRA), (2014)Domain adaptation problem in statistical machine translation systems., , and . CCIA, volume 277 of Frontiers in Artificial Intelligence and Applications, page 205-213. IOS Press, (2015)UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet., , , , , , , , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 908-927. CEUR-WS.org, (2021)Aspect On: an Interactive Solution for Post-Editing the Aspect Extraction based on Online Learning., , and . LREC, page 4974-4981. European Language Resources Association, (2020)Neural Networks Classifier for Data Selection in Statistical Machine Translation., , and . CoRR, (2016)An empirical analysis of data selection techniques in statistical machine translation., , and . Proces. del Leng. Natural, (2015)