US 12,169,515 B2
Document search system and document search method
Kunitaka Yamamoto, Kanagawa (JP); Junpei Momo, Kanagawa (JP); and Kazuki Higashi, Kanagawa (JP)
Assigned to Semiconductor Energy Laboratory Co., Ltd., Atsugi (JP)
Appl. No. 17/612,248
Filed by SEMICONDUCTOR ENERGY LABORATORY CO., LTD., Atsugi (JP)
PCT Filed May 11, 2020, PCT No. PCT/IB2020/054413
§ 371(c)(1), (2) Date Nov. 18, 2021,
PCT Pub. No. WO2020/240312, PCT Pub. Date Dec. 3, 2020.
Claims priority of application No. 2019-097468 (JP), filed on May 24, 2019.
Prior Publication US 2022/0197935 A1, Jun. 23, 2022
Int. Cl. G06F 16/35 (2019.01); G06F 16/93 (2019.01); G06F 40/268 (2020.01)
CPC G06F 16/35 (2019.01) [G06F 16/93 (2019.01); G06F 40/268 (2020.01)] 15 Claims
OG exemplary drawing
 
1. A document search system comprising a database and a hardware processor,
wherein the database is configured to store database document data,
wherein the hardware processor is configured to:
receive first document data and second document data;
extract a plurality of terms from the first document data;
weight at least one of the plurality of extracted terms on a basis of the second document data;
calculate a similarity of the database document data to the first document data on a basis of the at least one weighted term; and
output the calculated similarity,
wherein, after the plurality of terms are extracted, texts included in a document represented by the second document data are classified using machine learning,
wherein first learning document data is input to a processing portion of the hardware processor configured to perform the machine learning,
wherein the first document data represents a scope of claims of a patent application,
wherein the second document data represents a written opinion against a reason for refusal of the patent application, and
wherein the second document data represents a document which includes content described in a document represented by the first document data.