Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder

Budhaditya Deb
Budhaditya Deb

arXiv: Computation and Language, 2019.

Cited by: 2|Bibtex|Views20
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We consider the problem of diversifying automated reply suggestions for a commercial instant-messaging (IM) system (Skype). Our conversation model is a standard matching based information retrieval architecture, which consists of two parallel encoders to project messages and replies into a common feature representation. During inference, ...More

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