Invention Grant
- Patent Title: Tagging named entities with source document topic information for deep question answering
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Application No.: US15827837Application Date: 2017-11-30
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Publication No.: US10803100B2Publication Date: 2020-10-13
- Inventor: Christopher F. Ackermann , William G. Dubyak , Edward Graham Katz , Nicole O'Connor
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Nicole Spence
- Main IPC: G06F16/332
- IPC: G06F16/332 ; H04L12/58 ; G10L15/26 ; G06F40/30 ; G06F40/117 ; G06F40/295 ; G10L15/22

Abstract:
A computer-implemented method, a computer program product, and a computer processing system are provided. The method includes identifying, by a processor using a topic identification system, topic information for a source topic-domain in a corpus. The method further includes extracting, by the processor, an entity from the source topic-domain. The method also includes tagging, by the processor, the entity with the topic information to obtain a tagged entity that includes a tag specifying the topic information. The method additionally includes storing the tagged entity in a memory device. The method further includes performing, by the processor, downstream processing of the tagged entity in a natural language processing pipeline using the tag of the tagged entity as an additional data point.
Public/Granted literature
- US20190163811A1 TAGGING NAMED ENTITIES WITH SOURCE DOCUMENT TOPIC INFORMATION FOR DEEP QUESTION ANSWERING Public/Granted day:2019-05-30
Information query