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Training method and device for multi-class entity recognition model

A technology of entity recognition and training methods, applied in neural learning methods, biological neural network models, instruments, etc., can solve the problems of high maintenance cost, low operating efficiency, high error rate, etc., and achieve the goal of improving accuracy and efficiency and saving costs Effect

Active Publication Date: 2020-06-16
ZHIZHESIHAIBEIJINGTECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the present disclosure provides a multi-category entity recognition model training method and device, which can effectively solve the problems of high maintenance cost, high error rate and low operating efficiency of multi-category entity recognition methods in the prior art

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  • Training method and device for multi-class entity recognition model
  • Training method and device for multi-class entity recognition model
  • Training method and device for multi-class entity recognition model

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Embodiment Construction

[0051] The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.

[0052]It should be noted that like numerals and letters refer to like items in the following figures, so once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of this application, relational terms such as "first", "second", etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these entities or that there is any such actual relationship or sequence between operations. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion such that a process, method, article or device comprising a list of elements includes not only those elements, but also include...

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Abstract

The invention provides a training method and device for a multi-class entity recognition model. The method comprises the steps that a first entity recognition model is generated; training the first entity recognition model by using N single-category corpora to obtain N single-category entity recognition models, where N is an integer greater than or equal to 2; recognizing the mixed corpus comprising the multi-class entities by adopting N single-class entity recognition models to obtain marked N classes of mixed corpuses; and training the first entity recognition model by using the marked N types of mixed corpora to obtain an N types of entity recognition models. According to the training method and device for the multi-class entity recognition model, the problems that in the prior art, a multi-class entity recognition method is high in maintenance cost, high in error rate and low in operation efficiency can be effectively solved.

Description

technical field [0001] The present disclosure relates to the technical field of natural language processing, and in particular, to a training method and device for a multi-category entity recognition model. Background technique [0002] In the field of natural language processing technology, Named Entity Recognition (NER) refers to the extraction of entities with specific meaning or strong referentiality from unstructured input text, and entities are usually classified into person names and place names. , organization name, date and time, and other proper nouns, etc. [0003] The current multi-category entity recognition mostly adopts dictionary matching method or context-aware method. However, the dictionary matching method relies on the word segmentation effect and thesaurus data, which has poor accuracy and high maintenance cost; while the context-aware method needs to perform word segmentation and category judgment according to the context, which is inefficient and has ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06N3/04G06N3/08
CPCG06N3/08G06N3/044G06N3/045
Inventor 李飞阳薛姣胡鸣鹤孙付伟
Owner ZHIZHESIHAIBEIJINGTECH CO LTD