Response type selection for chat-like spoken dialog systems based on LSTM and multi-task learning-Reference-Cited by-同舟云学术

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Response type selection for chat-like spoken dialog systems based on LSTM and multi-task learning

Published:2021-10 Issue: Volume:133 Page:23-30
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Ohta Kengo,Nishimura Ryota,Kitaoka Norihide

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference37 articles.

1. Elderly speech-gaze interaction: State of the art and challenges for interaction design;Acartürk,2015

2. Bahdanau, D., Cho, K., Bengio, Y., 2015. Neural machine translation by jointly learning to align and translate. In: Proceedings of the International Conference on Learning Representations, ICLR.

3. The life review: An interpretation of reminiscence in the aged;Butler;Psychiatry,1963

4. Multitask learning: A knowledge-based source of inductive bias;Caruana,1993

5. Multitask learning;Caruana;Mach. Learn.,1997

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1. Efficient Speech Emotion Recognition for Resource-Constrained Devices;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23

2. A method for improving bot effectiveness by recognising implicit customer intent in contact centre conversations;Speech Communication;2022-09

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