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Samvaadhana : A Telugu Dialogue System in Hospital Domain
2019
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
In this paper, a dialogue system for Hospital domain in Telugu, which is a resource-poor Dravidian language, has been built. It handles various hospital and doctor related queries. The main aim of this paper is to present an approach for modelling a dialogue system in a resource-poor language by combining linguistic and domain knowledge. Focusing on the question answering aspect of the dialogue system, we identified Question Classification and Query Processing as the two most important parts of
doi:10.18653/v1/d19-6126
dblp:conf/acl-deeplo/DuggenpudiVM19
fatcat:tntp6vhjo5g7lakqsjk6hdngly