- 专利标题: DETERMINING NAMED ENTITIES ASSOCIATED WITH ASPECT TERMS EXTRACTED FROM DOCUMENTS HAVING UNSTRUCTURED TEXT DATA
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申请号: US17500044申请日: 2021-10-13
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公开(公告)号: US20230116515A1公开(公告)日: 2023-04-13
- 发明人: Ramakanth Kanagovi , Shrikrishna K. Joisa , Sandeep Ratnakar , Arun Swamy , Sumant Sahoo , Prakash Sridharan , Ravi Shukla
- 申请人: Dell Products L.P.
- 申请人地址: US TX Round Rock
- 专利权人: Dell Products L.P.
- 当前专利权人: Dell Products L.P.
- 当前专利权人地址: US TX Round Rock
- 主分类号: G06F16/34
- IPC分类号: G06F16/34 ; G06F16/35 ; G06F40/295 ; G06F40/284 ; G06N3/04
摘要:
An apparatus comprises at least one processing device configured to receive a query to determine associations between named entities and aspect terms for a document, to generate, utilizing a first machine learning model, a first set of encodings classifying words of the document as being aspect or non-aspect terms, to generate, utilizing a second machine learning model, a second set of encodings classifying associations of the words, and to determine, for a given aspect term, attention weights for a given subset of the words surrounding the given aspect term. The processing device is also configured to generate, utilizing a third machine learning model, predictions of association between the given aspect term and named entities recognized in the given subset of the words, and to provide a response to the query comprising at least one of the predicted associations.
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