Medical Fact Verification Method and Apparatus, Electronic Device, and Storage Medium

    公开(公告)号:US20210374576A1

    公开(公告)日:2021-12-02

    申请号:US17132704

    申请日:2020-12-23

    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.

    Method, Device, Equipment, and Storage Medium for Mining Topic Concept

    公开(公告)号:US20210326535A1

    公开(公告)日:2021-10-21

    申请号:US17036609

    申请日:2020-09-29

    Abstract: The present disclosure provides a method, a device, an equipment and a storage medium for mining a topic concept. The method includes: acquiring a plurality of candidate topic concepts based on a query; performing word segmentation on the plurality of candidate topic concepts and performing part-of-speech tagging on words obtained after performing the word segmentation, to obtain a part-of-speech sequence of each of the plurality of candidate topic concepts; and filtering the plurality of candidate topic concepts based on the part-of-speech sequence, to filter out a topic concept corresponding to a target part-of-speech sequence among the plurality of candidate topic concepts, in which a proportion of accurate topic concepts in the target part-of-speech sequence is lower than or equal to a first preset threshold, or a proportion of inaccurate topic concepts in the target part-of-speech sequence is higher than or equal to a second preset threshold.

    Method and apparatus for verifying medical fact

    公开(公告)号:US11636936B2

    公开(公告)日:2023-04-25

    申请号:US17023998

    申请日:2020-09-17

    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.

    METHOD, APPARATUS, DEVICE AND MEDIUM FOR DETERMINING TEXT RELEVANCE

    公开(公告)号:US20200242140A1

    公开(公告)日:2020-07-30

    申请号:US16689862

    申请日:2019-11-20

    Abstract: Embodiments of the present disclosure provide a method, apparatus, device and medium for determining text relevance. The method for determining text relevance may include: identifying, from a predefined knowledge base, a first set of knowledge elements associated with a first text and a second set of knowledge elements associated with a second text. The knowledge base includes a knowledge representation consist of knowledge elements. The method may further include: determining knowledge element relevance between the first set of knowledge elements and the second set of knowledge elements, and determining text relevance between the second text and the first text based at least on the knowledge element relevance.

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