Invention Grant
- Patent Title: Request paraphrasing system, request paraphrasing model and request determining model training method, and dialogue system
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Application No.: US17043069Application Date: 2019-03-05
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Publication No.: US11861307B2Publication Date: 2024-01-02
- Inventor: Yoshihiko Asao , Ryu Iida , Canasai Kruengkrai , Noriyuki Abe , Kanako Onishi , Kentaro Torisawa , Yutaka Kidawara
- Applicant: National Institute of Information and Communications Technology
- Applicant Address: JP Tokyo
- Assignee: National Institute of Information and Communications Technology
- Current Assignee: National Institute of Information and Communications Technology
- Current Assignee Address: JP Tokyo
- Agency: Renner, Otto, Boisselle & Sklar, LLP
- Priority: JP 18077454 2018.04.13
- International Application: PCT/JP2019/008607 2019.03.05
- International Announcement: WO2019/198386A 2019.10.17
- Date entered country: 2020-09-29
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F40/268 ; G06N3/08 ; G06F40/58 ; G06N3/04

Abstract:
A request paraphrasing system 120 allowing a dialogue system to flexibly address to requests in various different manners of expression includes: a pre-processing unit 130 converting a user input 56 to a word vector sequence; and a neural paraphrasing model 94 trained in advance by machine learning to receive the word vector sequence as an input and paraphrasing a request represented by the word vector sequence to a request having a higher probability of obtaining an answer from a question-answering device 122 than the request before paraphrasing. As pre-processing, whether the user input 56 is a request or not may be determined and it may be paraphrased only when it is determined to be a request. Further, a classification model 98 may classify the input request to determine to which request class it belongs, and the classification may be input as one feature to neural paraphrasing model 94.
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