Language Models and Dialogue Strategy for a Voice QA System
نویسندگان
چکیده
This paper describes a method of generating effective language models for voice query recognition and a new dialogue strategy for a voice activated QA system. By using multiple domain language models, better recognition accuracy is obtained for query utterances. In the proposed interactive dialogue strategy using multimodal user interface, users are requested to indicate correct keywords and incorrect keywords are automatically replaced by most probable keywords in the n-best list based on word co-occurrence probabilities. A preliminary QA system using voice input and graphical user interface has been implemented using the SAIQA open-domain QA system.
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