Entity identification method, device, electronic device and storage medium
An entity recognition and entity technology, applied in the field of entity recognition, can solve the problem of low accuracy of entity recognition, achieve the effect of strengthening vocabulary distribution, improving accuracy, and strengthening boundary information
Active Publication Date: 2022-07-29
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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Problems solved by technology
[0004] The present invention provides an entity recognition method, device, electronic equipment and storage medium to at least solve the problem of low accuracy of entity recognition in the related art
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[0092] In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.
[0093] It should be noted that the terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used may be interchanged under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with the present invention. Rather, they are merely examples of apparatus and method...
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The present invention relates to an entity identification method, device, electronic device and storage medium. The method includes: according to an entity vocabulary, dividing an object subject text into a plurality of characters and at least one entity word, and determining whether to include each item in the object subject text. word vector of each character; determine the word vector of each character as the first word vector, and determine the word vector of the entity word as the first word vector, determine the word vector of the vocabulary as the second word vector; The second word vector and the first word vector are used to determine the second word vector of the same character; according to the second word vector of each character and the first word vector of the entity word, entity recognition is performed on the subject subject text to obtain entity recognition result. The invention strengthens the lexical distribution of characters in the whole text, and strengthens the boundary information of the entity word based on the entity word, thereby improving the accuracy of entity recognition.
Description
technical field [0001] The present invention relates to entity identification technology, and in particular, to an entity identification method, device, electronic device and storage medium. Background technique [0002] In the related art, when performing entity recognition on an object topic, a large-scale language model can be used for recognition, or a matching method can be used to directly use a vocabulary to match entities in the object topic. [0003] Related technologies rely on a large amount of manually labeled data to construct the training data set, which is expensive, and it is difficult to cover all types due to the complex composition of the subject text, the training data is prone to bias, and the model depends on each subject in the subject. The information of each character itself is used for entity recognition, resulting in a low recognition accuracy of the model; using the matching method to directly match, without the cooperation of the language model, ...
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IPC IPC(8): G06F40/295
CPCG06F40/295
Inventor 周新宇刘振国陈凯
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD