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Multi-domain Neural Network Language Generation for Spoken Dialogue Systems.

, , , , , , и . HLT-NAACL, стр. 120-129. The Association for Computational Linguistics, (2016)

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Hao-Wei Su

Xiaofei Hao

Wenjin Hao

Jun Hao

Jin Hao

 

Другие публикации лиц с тем же именем

Policy committee for adaptation in multi-domain spoken dialogue systems., , , , , и . ASRU, стр. 806-812. IEEE, (2015)Data Collection and End-to-End Learning for Conversational AI., , , , и . EMNLP/IJCNLP (2), Association for Computational Linguistics, (2019)ConvFiT: Conversational Fine-Tuning of Pretrained Language Models., , , , , , , и . EMNLP (1), стр. 1151-1168. Association for Computational Linguistics, (2021)On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems., , , , , , , и . ACL (1), The Association for Computer Linguistics, (2016)A recursive dialogue game framework with optimal Policy offering personalized computer-assisted language learning., , , , и . INTERSPEECH, стр. 490-494. ISCA, (2013)Counter-fitting Word Vectors to Linguistic Constraints, , , , , , , , и . HLT-NAACL, (2016)Continuously Learning Neural Dialogue Management., , , , , , , и . CoRR, (2016)Dialogue manager domain adaptation using Gaussian process reinforcement learning., , , , , , , и . Comput. Speech Lang., (2017)Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding., , , , , , и . COLING, стр. 258-267. ACL, (2016)Multi-domain Neural Network Language Generation for Spoken Dialogue Systems., , , , , , и . HLT-NAACL, стр. 120-129. The Association for Computational Linguistics, (2016)