ENTITY AND ATTRIBUTE RESOLUTION IN CONVERSATIONAL APPLICATIONS

摘要

User input expressed as text may be analyzed for determining a type of response, such as an application response, and/or determining a type of task that is requested by the user input. Entity representations may be identified, classified and/or or tagged based on a type of response, type of task and/or a set of entity types. A surface form of an entity, ambiguous entity representation and/or other type of expression within the user input may be resolved, normalized and/or mapped to a normalized value. Normalizing entities and/or entity attributes may involve using a set of normalization rules, a lookup table, one or more machined learned methods, and/or an entity normalization index that associates entities with alternate surface forms derived from web corpora. The normalized value may be used to construct a request to a structured knowledge source and/or an application.

主权项

1. A computer-implemented method comprising:
receiving user input expressed as text at a computer system; analyzing text contained in the user input to determine a type of application response that is requested by the user input; identifying one or more entity representations within the user input based on a set of entity types utilized by an application that is configured to provide the type of application response; detecting an entity representation that describes an entity with a surface form of the entity; mapping the surface form of the entity to a normalized value; and constructing a request to the application using the normalized value.