Text entity type recognition method and device, electronic equipment and storage medium
A technology of entity type and identification method, applied in the direction of text database clustering/classification, unstructured text data retrieval, semantic tool creation, etc. Sex, the effect of overcoming identification difficulties
Active Publication Date: 2020-02-21
IFLYTEK CO LTD
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[0004] The embodiment of the present invention provides a text entity type recognition method, device, electronic equipment and storage medium to solve the problem of low accuracy of text entity type recognition due to the variable expression of text entities
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[0053] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0054]In the process of artificial intelligence education, a large amount of text data of test questions will be generated, and the number of questions is huge. These test questions are used in students' exams and exercises, and more text data of answering questions will be generated. In order to teach each student in accordance with their aptitud...
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Embodiments of the invention provide a text entity type identification method and device, electronic equipment and a storage medium. The method comprises the steps of determining a to-be-identified text; inputting each segmented word in the to-be-recognized text into the entity type recognition model to obtain an entity type recognition result corresponding to each segmented word output by the entity type recognition model, wherein the entity type identification model is constructed on the basis of a synonym interaction attention mechanism, and is obtained by training each sample word segmentin a sample text, a sample entity type identifier of each sample word segment and a synonym set dictionary. According to the method and device, electronic equipment and a storage medium, each segmented word of the to-be-recognized text is input into the entity type recognition model constructed based on the synonym interaction attention mechanism, entity type recognition is carried out, the problem that recognition is difficult due to the fact that text entity expression modes are changeable is solved, and the accuracy and reliability of text entity type recognition are improved.
Description
technical field [0001] The present invention relates to the technical field of natural language processing, in particular to a text entity type recognition method, device, electronic equipment and storage medium. Background technique [0002] Today, artificial intelligence and big data technologies play an important role in the field of education. In the process of artificial intelligence education, a large amount of test question text data will be generated for students to test and practice. After students answer, more answer text data will be generated. The data volume is huge and the information structure is complex. Text entity type recognition for the above text data is a prerequisite for subsequent intelligent correction assignments, topic difficulty prediction, and topic knowledge point prediction and other related applications. [0003] Existing text entity type recognition is usually carried out for entity type recognition of person names, place names, organization...
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IPC IPC(8): G06F16/35G06F16/36
CPCG06F16/35G06F16/367
Inventor 詹文超沙晶付瑞吉王士进魏思
Owner IFLYTEK CO LTD