HYPER-GRAPH LEARNER FOR NATURAL LANGUAGE COMPREHENSION

Publication number: 20190188218
Abstract: A method is disclosed. The method includes receiving a text phrase from a user and parsing the text phrase using a natural language parser to generate distinct words. A vector of values relating to the distinct words is generated and compared to vectors in a graph database which relate to learned communities of language. Based on the comparing, a most similar community in the learned communities of language is determined and an action set action set associated with the most similar community is queried. A response to the text phrase from the user is then generated based on the action set and provided to the user.
Type: Application
Filed: December 18, 2018
Publication date: June 20, 2019
Inventors: Theodore D. Harris, Tatiana Korolevskaya, Yue Li