Patent ID: 9514742
Filing Date: 2016-12-06
CPC Classification: G06F,G09B,G10L

Claim Text:
1. A conversation management system, comprising: a training unit that generates an articulation speech act and an entity name of a training corpus, that generates a lexical syntactic pattern which is generated from the training corpus, and that estimates the articulation speech act and the entity name of the training corpus; a database that stores the articulation speech act, the entity name, and the lexical syntactic pattern of the training corpus; an input unit receiving a user articulation when an actual conversation is performed by a user; an execution unit that generates a user articulation speech act and an entity name of the user articulation, that generates a user lexical syntactic pattern, that estimates the user articulation speech act and the entity name of the user articulation, that searches for an articulation pair corresponding to the user articulation at the database using a search condition comprising the estimated user articulation speech act and the generated user lexical syntactic pattern, and that generates a final response by selecting an articulation template using a restriction condition comprising the estimated entity name of the user articulation among the found articulation pair; and an output unit that outputs the final response that is generated by the execution unit, wherein the training unit analyzes a part of speech of the training corpus, defines a priority of parts of speech, and generates the lexical syntactic pattern from the part of speech, and wherein the execution unit estimates the user speech act and the entity name of the user articulation using a machine learning training model generated by the training unit.