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公开(公告)号:US11763088B2
公开(公告)日:2023-09-19
申请号:US17657405
申请日:2022-03-31
Applicant: Microsoft Technology Licensing, LLC
Inventor: Ying Wang , Min Li , Mengyan Lu
IPC: G06N20/00 , G06F40/295 , G06F16/28 , G06F40/284
CPC classification number: G06F40/295 , G06F16/288 , G06F40/284 , G06N20/00 , G06V2201/134
Abstract: A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.
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公开(公告)号:US11301633B2
公开(公告)日:2022-04-12
申请号:US16313337
申请日:2018-12-25
Applicant: Microsoft Technology Licensing, LLC
Inventor: Ying Wang , Min Li , Mengyan Lu
IPC: G06K9/00 , G06F40/295 , G06N20/00 , G06F16/28 , G06F40/284
Abstract: A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.
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公开(公告)号:US12229513B2
公开(公告)日:2025-02-18
申请号:US18365504
申请日:2023-08-04
Applicant: Microsoft Technology Licensing, LLC
Inventor: Ying Suresh Wang , Min Li , Mengyan Lu
IPC: G06F40/295 , G06F16/28 , G06F40/284 , G06N20/00
Abstract: A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.
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公开(公告)号:US11321529B2
公开(公告)日:2022-05-03
申请号:US16313758
申请日:2018-12-25
Applicant: Microsoft Technology Licensing, LLC
Inventor: Ying Wang , Min Li , Mengyan Lu
IPC: G06F40/295 , G06F40/205
Abstract: A date extractor disclosed herein allows extracting dates and date ranges from documents. An implementation of the date extractor is implemented using various computer process instructions including scanning a document to generate a plurality of tokens, assigning labels to token using named entity recognition machine to generate a named entity vector, extracting dates from the named entity vector by comparing each of the named entities of the named entity vector to predetermined patterns of dates to generate a date vector, generating a plurality of date pairs from the date vector, and extracting date-ranges by comparing the plurality of date pairs to predetermined patterns of date ranges.
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