DATA LABELING METHOD BASED ON ARTIFICIAL INTELLIGENCE, APPARATUS AND STORAGE MEDIUM

    公开(公告)号:US20230316709A1

    公开(公告)日:2023-10-05

    申请号:US17902323

    申请日:2022-09-02

    CPC classification number: G06V10/762 G06V10/764 G06V10/761 G06F16/285

    Abstract: Provided is a data labeling method based on artificial intelligence, an apparatus, and a storage medium relating to the field of artificial intelligence, particularly data labeling, image recognition, and natural language processing. The method includes: determining a plurality of samples involved in clustering; performing a plurality of following operations circularly to realize iterative processing, until a convergence condition is satisfied or a quantity of iterations reaches a number threshold, comprising: pre-clustering the plurality of samples according to a vector representation of the respective samples to obtain a plurality of class clusters, each class cluster containing at least one sample; receiving labeling information for the respective class clusters and re-determining the plurality of samples according to the labeling information; and determining a clustering result according to the labeling information for the respective class clusters.

    METHOD OF DETERMINING LOCATION INFORMATION, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20220374603A1

    公开(公告)日:2022-11-24

    申请号:US17817810

    申请日:2022-08-05

    Abstract: A method of determining a location information, an electronic device, and a storage medium, which relate to a field of an artificial intelligence technology, and in particular, to fields of NLP and knowledge graph. The method includes: determining at least one location chain corresponding to a location information in a text to be recognized, wherein each of the at least one location chain includes a plurality of chain nodes cascaded according to a subordination relationship, and each level of chain node represents a current level name corresponding to the location information; and determining, from the at least one location chain, a target location chain having a greatest degree of relevance to the text to be recognized, according to a feature word indicating a location attribute in the text to be recognized.

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