Abstract
This paper describes SYNTAVIZ, a visualization interface specifically designed for analyzing natural-language queries that were created by users of a voice-enabled product. SYNTAVIZ provides a platform for browsing the ontology of user queries from a syntax-driven perspective, providing quick access to high-impact failure points of the existing intent understanding system and evidence for data-driven decisions in the development cycle. A case study on Xfinity X1 (a voice-enabled entertainment platform from Comcast) reveals that SYNTAVIZ helps developers identify multiple action items in a short amount of time without any special training. SYNTAVIZ has been open-sourced for the benefit of the community.
Cite
CITATION STYLE
Tanveer, M. I., & Ture, F. (2018). SyntaViz: Visualizing voice queries through a syntax-driven hierarchical ontology. In EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings (pp. 1–6). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d18-2001
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