Text recognition method and device, electronic equipment and medium

Abstract

The invention discloses a text recognition method and device, electronic equipment and a medium. According to the invention, the method comprises the steps of: performing entity feature recognition onthe target text by using a pre-trained deep learning model to obtain a candidate name entity list, and matching the candidate name entity list with multiple pieces of name information in the enterprise name library one by one to obtain at least one matching result, thereby taking the candidate name entity, higher than the hit matching rate, in the at least one matching result as a name entity obtained by identifying the target text. By applying the technical scheme, name entities possibly existing in the text can be extracted by adopting the deep learning model, a part of entities with identification errors are filtered out by utilizing the filtering word list to serve as candidate company entities, and the candidate companies correspond to the specific enterprise name libraries by meansof the enterprise name libraries and the enterprise entity mapping tables. Therefore, the problem that the efficiency of extracting the effective name entity from the text is very low in the prior artis avoided.

Description

technical field [0001] This application relates to data processing technology, especially a method, device, electronic equipment and medium for recognizing text. Background technique [0002] Due to the rise of the communication age and society, the field of communication has been evolving with the participation of more and more users. [0003] Furthermore, the name entity refers to the name of a person, institution name, place name, and all other entities identified by a name. More generally, a name entity also includes numbers, dates, currencies, addresses, and quantity phrases. The main task of named entity recognition (NamedEntity Recognition NER) is to extract named entities from certain texts and classify them. Name entity recognition is an essential part of many natural language processing technologies such as information extraction, information retrieval, machine translation, and question answering systems. [0004] However, in the process of the name entity extrac...

AI Technical Summary

Problems solved by technology

[0005] The embodiments of the present application provide a method, device, electronic equipment, and medium for recognizing text. The embodiments of the present application are used to solve the problem in related technologies that it is usually necessary to traverse and match the entire text one by one, which takes a long time, resulting in Very inefficient extraction of valid name entities

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