Deep Retrieval-Based Dialogue Systems: A Short Review
July 30, 2019 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin, Emmanuel Morin
arXiv ID
1907.12878
Category
cs.CL: Computation & Language
Citations
17
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Building dialogue systems that naturally converse with humans is being an attractive and an active research domain. Multiple systems are being designed everyday and several datasets are being available. For this reason, it is being hard to keep an up-to-date state-of-the-art. In this work, we present the latest and most relevant retrieval-based dialogue systems and the available datasets used to build and evaluate them. We discuss their limitations and provide insights and guidelines for future work.
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