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公开(公告)号：US11636936B2
公开(公告)日：2023-04-25
申请号：US17023998
申请日：2020-09-17
Inventor： Zhou Fang , Shuangjie Li , Yabing Shi , Ye Jiang
Abstract: The present disclosure relates to the field of medical data processing based on natural language processing. Embodiments of the present disclosure disclose a method and apparatus for verifying a medical fact. The method may include: acquiring a description text of the medical fact; selecting a relevant paragraph related to the description text of the medical fact from a medical document; and inputting the description text of the medical fact and the corresponding relevant paragraph into a trained discrimination model for authenticity judgment, to obtain a verification result of the medical fact, the discrimination model being pre-trained based on a medical text paragraph pair extracted from the medical document, and being iteratively adjusted using a medical fact sample set including authenticity labeling information after the pre-training.
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公开(公告)号：US11361002B2
公开(公告)日：2022-06-14
申请号：US17249001
申请日：2021-02-17
Inventor： Yabing Shi , Shuangjie Li , Ye Jiang , Yang Zhang , Yong Zhu
IPC: G06F16/28 , G06F40/295 , G06F40/30 , G06N20/00
Abstract: The disclosure discloses a method and an apparatus for recognizing an entity word. The method includes: obtaining an entity word category and a document to be recognized; generating an entity word question based on the entity word category; segmenting the document to be recognized to generate a plurality of candidate sentences; inputting the entity word question and the plurality of candidate sentences into a question-answer model trained in advance to obtain an entity word recognizing result; and obtaining an entity word set corresponding to the entity word question based on the entity word recognizing result.
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公开(公告)号：US11775776B2
公开(公告)日：2023-10-03
申请号：US17147881
申请日：2021-01-13
Inventor： Shuangjie Li , Miao Yu , Yabing Shi , Xuefeng Hao , Xunchao Song , Ye Jiang , Yang Zhang , Yong Zhu
IPC: G06F40/40 , G06N20/00 , G06F40/289
CPC classification number: G06F40/40 , G06F40/289 , G06N20/00
Abstract: A method and an apparatus for processing information are provided. The method can include: acquiring a word sequence obtained by performing word segmentation on two paragraphs in a text; inputting the word sequence into a to-be-trained natural language processing model to generate a word vector corresponding to a word in the word sequence; inputting the word vector into a preset processing layer of the to-be-trained natural language processing model; predicting whether the two paragraphs are adjacent, and a replaced word in the two paragraphs; and acquiring reference information of the two paragraphs, and training the to-be-trained natural language processing model to obtain a trained natural language processing model, based on the prediction result and the reference information.
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公开(公告)号：US10664660B2
公开(公告)日：2020-05-26
申请号：US16128410
申请日：2018-09-11
Inventor： Shuangjie Li , Yabing Shi , Haijin Liang , Yang Zhang , Jingfeng Li
IPC: G06F17/27 , G06F40/295 , G06N3/08 , G06F40/211 , G06F40/216 , G06F40/284
Abstract: A method and device for extracting entity relation based on deep learning and a server are provided. The method includes: preprocessing a text to be mined, to obtain a sentence with entities in the text to be mined; determining an entity pair in the sentence according to the entities, wherein the entity pair includes at least two entities, and determining candidate relations between entities in the entity pair; and determining an entity relation between the entities in the entity pair from the candidate relations.
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公开(公告)号：US20190155898A1
公开(公告)日：2019-05-23
申请号：US16128410
申请日：2018-09-11
Inventor： Shuangjie Li , Yabing Shi , Haijin Liang , Yang Zhang , Jingfeng Li
Abstract: A method and device for extracting entity relation based on deep learning and a server are provided. The method includes: preprocessing a text to be mined, to obtain a sentence with entities in the text to be mined; determining an entity pair in the sentence according to the entities, wherein the entity pair includes at least two entities, and determining candidate relations between entities in the entity pair; and determining an entity relation between the entities in the entity pair from the candidate relations.
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Patent Agency Ranking
公开(公告)号：US11321421B2
公开(公告)日：2022-05-03
申请号：US16539796
申请日：2019-08-13
Inventor： Fang Huang , Shuangjie Li , Bingyang Yu , Yabing Shi , Haijin Liang , Yang Zhang , Yong Zhu
IPC: G06F16/958 , G06F16/953
Abstract: Embodiments of the present disclosure provide a method, an apparatus and a device for generating entity relationship data, and a storage medium. The method includes: obtaining webpage source data corresponding to a target webpage; identifying at least one key value block from the webpage source data, wherein the key value block comprises at least one key value pair; identifying body values corresponding to the at least one key value block from the webpage source data; and generating entity relationship data corresponding to the target webpage according to the key value blocks and the body values corresponding to the key value blocks. With the technical solution the present disclosure, the webpage universality may be improved, labor cost may be reduced, and output quantity of the entity relationship data may be increased.
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公开(公告)号：US20210374576A1
公开(公告)日：2021-12-02
申请号：US17132704
申请日：2020-12-23
Inventor： Zhou Fang , Yabing Shi , Ye Jiang , Chunguang Chai
Abstract: A medical fact verification method and apparatus, an electronic device, and a storage medium are provided. The medical fact verification method comprises: acquiring a medical fact to be verified and candidate evidence, wherein the medical fact to be verified includes a target entity, a target attribute and a target attribute value; inputting the target entity, the target attribute value and the candidate evidence into an attribute decision model to obtain a decision attribute; inputting the target entity, the target attribute value and the candidate evidence into a relevancy decision model to obtain a relevancy of the candidate evidence in a case that the target attribute and the decision attribute are the same; and determining that the medical fact to be verified is correct in a case that the relevancy of the candidate evidence accords with a preset condition.
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公开(公告)号：US20200242490A1
公开(公告)日：2020-07-30
申请号：US16749029
申请日：2020-01-22
Inventor： Qian LI , Yabing Shi , Haijin Liang , Yang Zhang , Yong Zhu
IPC: G06N5/04 , G06F40/253 , G06F16/21 , G06F16/28 , G06N5/02
Abstract: Embodiments of the present disclosure provide to a method and a device for acquiring a data model in a knowledge graph, an apparatus and a storage medium. The method includes: receiving a knowledge entry describing a relationship between an entity and an object; determining a plurality of candidate object types of the object according to at least one of the entity, the relationship and the object; determining an object type for generating a data model that matches the knowledge entry from the plurality of candidate object types based on a preset rule; and generating the data model based at least on the object type.
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公开(公告)号：US12182724B2
公开(公告)日：2024-12-31
申请号：US17025952
申请日：2020-09-18
Inventor： Fang Huang , Shuangjie Li , Yabing Shi , Ye Jiang , Yang Zhang , Yong Zhu
Abstract: A method and apparatus for generating a temporal knowledge graph, a device and a medium. An embodiment comprises: acquiring corpus including time information; performing multivariate data extraction on the corpus, multivariate data including an entity pair, an entity relationship and a target time interval of the entity relationship, the target time interval being used to indicate a valid period of the entity relationship; and generating a temporal knowledge graph based on the entity pair, the entity relationship and the target time interval of the entity relationship.
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公开(公告)号：US11556812B2
公开(公告)日：2023-01-17
申请号：US16749029
申请日：2020-01-22
Inventor： Qian Li , Yabing Shi , Haijin Liang , Yang Zhang , Yong Zhu
IPC: G06N5/04 , G06F16/21 , G06F16/28 , G06F40/253 , G06N5/02
Abstract: Embodiments of the present disclosure provide to a method and a device for acquiring a data model in a knowledge graph, an apparatus and a storage medium. The method includes: receiving a knowledge entry describing a relationship between an entity and an object; determining a plurality of candidate object types of the object according to at least one of the entity, the relationship and the object; determining an object type for generating a data model that matches the knowledge entry from the plurality of candidate object types based on a preset rule; and generating the data model based at least on the object type.
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