PERSONAL KNOWLEDGE GRAPH POPULATION FROM DECLARATIVE USER UTTERANCES

摘要

An “Utterance-Based Knowledge Tool” monitors user utterances (e.g., user speech or text inputs) to identify relevant statements of facts in declarative utterances of a user. A semantic parser is applied to each statement of facts to parse assertions comprising instances of two or more entities and relations between those entities. As such, each assertion explicitly delimits a relation between two particular entities (one of which may be the user) that are relevant to the particular user. The Utterance-Based Knowledge Tool places or categorizes the identified assertions (which each include entities and relations) into one or more of a plurality of predefined classes. These classified assertions are then applied to construct and/or update a personal knowledge graph for the user. This personal knowledge graph is then applied to respond to user queries, thereby improving personal relevancy of query responses provided to the user.

主权项

1. A system, comprising:
a general purpose computing device; and a computer program comprising program modules executable by the computing device, wherein the computing device is directed by the program modules of the computer program to: apply a semantic parser module to parse one or more assertions in one or more declarative utterances of a particular user; each parsed assertion delimiting a relationship between at least two particular entities that are relevant to the particular user; apply a graph construction module to construct a personal knowledge graph relating to the particular user from the entities and relationship delimited by each assertion; and apply a query response module to the personal knowledge graph to respond to one or more dialog queries of the particular user.