Response Sentence Modification Using a Sentence Vector for a Flexible Response Generation of Retrieval-based Dialogue Systems
Author:
Affiliation:
1. Tohoku University,Sendai,Japan
2. NTT Communication Science Laboratories,Kyoto,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9979726/9979808/09979841.pdf?arnumber=9979841
Reference62 articles.
1. Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation
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3. Transformer-based Empathetic Response Generation Using Dialogue Situation and Advanced-Level Definition of Empathy
4. Variational transformers for diverse response generation;lin;ArXiv Preprint,2020
5. DLGNet: A Transformer-based Model for Dialogue Response Generation
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