What we need to learn if we want to do and not just talk

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)  
In task-oriented dialog, agents need to generate both fluent natural language responses and correct external actions like database queries and updates. We show that methods that achieve state of the art performance on synthetic datasets, perform poorly in real world dialog tasks. We propose a hybrid model, where nearest neighbor is used to generate fluent responses and Sequence-to-Sequence (Seq2Seq) type models ensure dialogue coherency and generate accurate external actions. The hybrid model
more » ... an internal customer support dataset achieves a 78% relative improvement in fluency, and a 200% improvement in external call accuracy.
doi:10.18653/v1/n18-3004 dblp:conf/naacl/GangadharaiahNE18 fatcat:wm2btzvc75eu3gwhwfqvuwsn2i