@InProceedings{tanveer-ture:2018:Demos,
  author    = {Tanveer, Md Iftekhar  and  Ture, Ferhan},
  title     = {SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical Ontology},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
  month     = {November},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {1--6},
  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.},
  url       = {http://www.aclweb.org/anthology/D18-2001}
}