Invention Grant
- Patent Title: Modeling multiparty conversation dynamics: speaker, response, addressee selection using a novel deep learning approach
-
Application No.: US15968808Application Date: 2018-05-02
-
Publication No.: US10657962B2Publication Date: 2020-05-19
- Inventor: Rui Zhang , Lazaros Polymenakos , Dragomir Radev , David Nahamoo , Honglak Lee
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk US MI Ann Arbor
- Assignee: International Business Machines Corporation,University of Michigan
- Current Assignee: International Business Machines Corporation,University of Michigan
- Current Assignee Address: US NY Armonk US MI Ann Arbor
- Agency: Fleit Intellectual Property Law
- Agent Jose Gutman
- Main IPC: G10L15/22
- IPC: G10L15/22 ; H04L29/06 ; G10L15/18 ; G10L15/06 ; G10L17/00 ; G06N20/00

Abstract:
An information processing system, a computer program product, and methods for modeling multi-party dialog interactions. A method includes learning, directly from data obtained from a multi-party conversational channel, to identify particular multi-party dialog threads as well as participants in one or more conversations. Each participant utterance being converted to a continuous vector representation updated in a model of the multi-party dialog relative to each participant utterance and according to each participant's role selected from the set of: sender, addressee, or observer. The method trains the model to choose a correct addressee and a correct response for each participant utterance, using a joint selection criterion. The method learns directly from the data obtained from the multi-party conversational channel, which dialog turns belong to each particular multi-party dialog thread.
Public/Granted literature
Information query