ACTIVE LEARNING USING DIFFERENT KNOWLEDGE SOURCES

摘要

Different knowledge sources are automatically accessed to identify and obtain additional data to update a conversational dialog system. One of the knowledge sources is initially selected as a seed source. Seed data from the seed source are used to identify related data in at least one other knowledge source. For example, query click logs may be accessed and searched to determine popular queries that use the seed data. A structured knowledge source may be accessed to determine related nodes to the seed data. A query click log, or some other knowledge source, may be used to determine when a node is related to the seed data. Data that is identified to be related may be used to train a language understanding model or update a schema for the SLU system. The data may be automatically annotated or manually annotated.

主权项

1. A method for active learning using different knowledge sources, comprising:
accessing a seed knowledge source that includes data relating to a conversational dialog system; automatically selecting seed data from the seed knowledge source; accessing a second knowledge source that includes data relating to the conversational dialog system; automatically identifying related data from the second knowledge source using the seed data; and using the related data to update the conversational dialog system.