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arXiv · 1606.05491

Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings

Ondřej Dušek·Filip Jurčíček
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Abstract

We present a natural language generator based on the sequence-to-sequence approach that can be trained to produce natural language strings as well as deep syntax dependency trees from input dialogue acts, and we use it to directly compare two-step generation with separate sentence planning and surface realization stages to a joint, one-step approach. We were able to train both setups successfully using very little training data. The joint setup offers better performance, surpassing state-of-the-art with regards to n-gram-based scores while providing more relevant outputs.

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Ondřej Dušek, Filip Jurčíček. 2016-06-17. Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings. https://doi.org/10.18653/v1%2Fp16-2008

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