Hierarchical Attention and Knowledge Matching Networks With Information Enhancement for End-to-End Task-Oriented Dialog Systems

Hierarchical Attention and Knowledge Matching Networks With Information Enhancement for End-to-End Task-Oriented Dialog Systems

Nowadays, most end-to-end task-oriented dialog systems are based on sequence-to-sequence (Seq2seq), which is an encoder-decoder framework. These systems sometimes produce grammatically correct, but logically incorrect responses. This phenomenon is usually due to information mismatching. To solve thi...

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Bibliographic Details
Main Authors: Junqing He, Bing Wang, Mingming Fu, Tianqi Yang, Xuemin Zhao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Dialog systems
end-to-end response generation
context modeling
hierarchical attention
knowledge base interaction
neural networks
Online Access:https://ieeexplore.ieee.org/document/8611079/

Internet

https://ieeexplore.ieee.org/document/8611079/

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