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Patent Searching and Data


Title:
A SYSTEM AND METHOD FOR EFFICIENT MULTI-RELATIONAL ENTITY UNDERSTANDING AND RETRIEVAL
Document Type and Number:
WIPO Patent Application WO/2021/157897
Kind Code:
A1
Abstract:
A method, an electronic device and computer readable medium for entity-relationship embeddings using automatically generated entity graphs instead of a traditional knowledge graph are provided. The method includes receiving, by a processor, an input text. The method also includes identifying a primary entity, a secondary entity and a context from the input text, wherein the context comprises a relationship between the primary entity and the secondary entity. The method additionally includes generating, by the processor, an entity context graph based on the primary entity, the secondary entity, and the context by: extracting, from the context, one or more text segments comprising a plurality of words describing one or more additional relationships between the primary entity and the secondary entity, and generating a plurality of context triples from the one or more text segments, each of the plurality of context triples defining a respective relationship between primary entity and the secondary entity.

Inventors:
GUNARATNA DALKANDURA ARACHCHIGE KALPA SHASHIKA SILVA (US)
JIN HONGXIA (US)
Application Number:
PCT/KR2021/000579
Publication Date:
August 12, 2021
Filing Date:
January 15, 2021
Export Citation:
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Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06F16/901; G06F16/22; G06F16/242; G06F16/2458; G06F16/26; G06F16/28; G06F40/279; G06N20/00
Foreign References:
US20190312869A12019-10-10
US20160012110A12016-01-14
US20030236764A12003-12-25
US20190287006A12019-09-19
KR20150132860A2015-11-26
Other References:
MESGAR MOHSEN, STRUBE MICHAEL: "A Neural Local Coherence Model for Text Quality Assessment Heidelberg Institute for Theoretical Studies (HITS) and Research Training Group AIPHES", PROCEEDINGS OF THE 2018 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 4 November 2018 (2018-11-04), pages 4328 - 4339, XP055833664, Retrieved from the Internet
Attorney, Agent or Firm:
KIM, Tae-hun et al. (KR)
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