Li Zhu

20200042642, Feb 6, 2020

Aug 2, 2018

16/053718

- Armonk NY, US
Song Feng - New York NY, US
Chulaka Gunasekara - Yorktown Heights NY, US
David Nahamoo - Great Neck NY, US
Lazaros Polymenakos - West Harrison NY, US
Sunil D. Shashidhara - White Plains NY, US
Cheng Wu - Bellevue WA, US
Li Zhu - Yorktown Heights NY, US

G06F 17/30
G06N 5/02
G06F 17/27
G06N 3/04
G06N 99/00

A method, apparatus and computer program product for creating a dialog system for web content is described. Knowledge is extracted from a target web application for the dialog system. The knowledge includes an organizational structure of the target web application and domain knowledge pertinent to the target web application. A deep learning process associates the domain knowledge with the organization structure of the target application. A plurality of knowledge sources of different respective types are created from the domain knowledge and the organizational structure. Each of the knowledge sources is used for providing answers to user queries to the dialog system. As part of the invention, a semantic matcher is provided to select among the answers provided by the plurality of knowledge sources for a best answer to a user query.

20200042649, Feb 6, 2020

Aug 2, 2018

16/053726

- Armonk NY, US
Song Feng - New York NY, US
Chulaka Gunasekara - Yorktown Heights NY, US
David Nahamoo - Great Neck NY, US
Lazaros Polymenakos - West Harrison NY, US
Sunil D. Shashidhara - White Plains NY, US
Cheng Wu - Bellevue WA, US
Li Zhu - Yorktown Heights NY, US

G06F 17/30
G06F 17/27
G06N 5/02
G10L 15/22

A method, apparatus and computer program product for presenting a user interface for a conversational system is described. A user input is received in a dialog between a user and the conversational system, the user input in a natural language. A domain trained semantic matcher is used to determine a set of entities and a user intent from the user input. One or more queries is generated to selected ones of a plurality of knowledge sources, the knowledge sources created from domain specific knowledge. The results from the one or more queries are ranked based on domain specific knowledge. A system response is presented in the dialog based on at least a highest ranked result from the plurality of knowledge sources.

20190304445, Oct 3, 2019

Sep 11, 2018

16/128012

- Armonk NY, US
Lazaros Polymenakos - West Harrison NY, US
Nathaniel Mills - Coventry CT, US
Li Zhu - Chappaqua NY, US

G10L 15/22
H04L 29/08
G10L 15/18

A computer-implemented conversational system framework to perform tasks associated with a client request. A conversation application executing on a hardware processor provides application workflow orchestration, the conversation application receiving a client request and sending one or more application requests based on the application workflow orchestration. A conversation system executing on a hardware processor provides conversation workflow orchestration, the conversation system receiving the one or more application requests. The conversation application and the conversation system develop dialog context and store the dialog context in a memory device. The conversation application and the conversation system develop the dialog context by invoking at least one micro-service to perform tasks associated with the one or more application requests. The conversation application generates a response to the client request based on the developed dialog context.