Preprocessing Techniques for End-To-End Trainable RNN-Based Conversational System-Reference-Cited by-同舟云学术

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Preprocessing Techniques for End-To-End Trainable RNN-Based Conversational System

Published:2021 Issue: Volume: Page:255-270
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Maziad Hussein,Rammouz Julie-Ann,Asmar Boulos El,Tekli Joe

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-74296-6_20

Reference35 articles.

1. Ahn, S., et al.: A Neural Knowledge Language Model (2016). CoRR abs/1608.00318

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

3. Bordes, A., Boureau, Y., Weston, J.: Learning end-to-end goal-oriented dialog. In: International Conference on Learning Representations (ICLR) (2017)

4. Lecture Notes in Computer Science;M Collier,2018

5. Lecture Notes in Computer Science;J Deng,2014

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