Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation

Transformer-based models have demonstrated excellent capabilities of capturing patterns and structures in natural language generation and achieved state-of-the-art results in many tasks. In this paper we present a transformer-based model for multi-turn dialog response generation. Our solution is bas...

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Bibliographic Details
Main Authors: Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila
Format: Article
Language:English
Published: LibraryPress@UF 2021-04-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Online Access:https://journals.flvc.org/FLAIRS/article/view/128369
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