Natural Language Speech Lattice Containing Semantic Variants
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Abstract
An intelligent query system for processing voiced-based queries is disclosed, which uses a combination of both statistical and semantic based processing to identify the question posed by the user by understanding the meaning of the user'"'"'s utterance. Based on identifying the meaning of the utterance, the system selects a single answer that best matches the user'"'"'s query. The answer that is paired to this single question is then retrieved and presented to the user. The system, as implemented, accepts environmental variables selected by the user and is scalable to provide answers to a variety and quantity of user-initiated queries.
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Citations
40 Claims
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1-28. -28. (canceled)
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29. A method of populating a natural language speech lattice with semantically variant questions, the method comprising the steps of:
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(a) defining a first set of topic questions associated with content of a task domain to be supported by the natural language speech lattice;
wherein said first set of topic questions also each have at least one corresponding topic answer which can be provided by a speech based natural language system for the task domain in response to a speech based query;
(b) for each topic question;
i) dividing the topic question into a plurality of words corresponding to the topic question;
ii) determining semantically related words for each word in said plurality of words;
iii) formulating a semantic set of questions related to the topic question based on said semantically related words;
iv) performing semantic decoding on said semantic set of questions for the topic question, to identify a disambiguated set of questions appropriate for the topic question;
v) storing said set of disambiguated questions for the topic question in a speech recognition lattice;
(C) repeating step for each topic question in said first set of topic questions;
wherein said set of disambiguated questions for said first set of topic questions correspond to semantic variants of speech based queries that are supported by said speech based natural language system for the task domain. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36, 37, 38, 39)
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40. A natural language speech lattice populated with semantically variant questions, comprising:
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(a) a first set of topic questions associated with content of a task domain to be supported by the natural language speech lattice;
wherein said first set of topic questions also each have at least one corresponding topic answer which can be provided by a speech based natural language system for the task domain in response to a speech based query;
(b) a second set of semantic questions semantically related to the first set of topic questions;
wherein said second set of semantic questions are also a disambiguated set of questions appropriate for the first set of topic questions;
wherein said set of disambiguated questions for said first set of topic questions correspond to semantic variants of speech based queries that are supported by said speech based natural language system for the task domain.
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Specification