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Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation.

, , and . ACL (2), page 656-661. Association for Computational Linguistics, (2018)

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Incorporating Syntactic Uncertainty in Neural Machine Translation with Forest-to-Sequence Model., and . CoRR, (2017)Novel class detection in data streams using local patterns and neighborhood graph., , and . Neurocomputing, (2015)Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach., , and . Knowl. Inf. Syst., 60 (3): 1329-1352 (2019)Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation., , and . ACL (2), page 656-661. Association for Computational Linguistics, (2018)Learning to Multi-Task Learn for Better Neural Machine Translation., and . CoRR, (2020)A novel concept drift detection method in data streams using ensemble classifiers., , and . Intell. Data Anal., 20 (6): 1329-1350 (2016)Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model., and . COLING, page 1421-1429. Association for Computational Linguistics, (2018)Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach., , and . Expert Syst. Appl., (2018)Neural Machine Translation for Bilingually Low-Resource Scenarios.. Monash University, Australia, (2020)Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach., and . NAACL-HLT, page 1356-1365. Association for Computational Linguistics, (2018)