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Statement recognition method and device, storage medium and electronic equipment

A sentence recognition and sentence technology, applied in the computer field, can solve problems such as poor transfer effect of sentence recognition training model and difficult target sentence recognition.

Active Publication Date: 2020-08-28
深圳市雅阅科技有限公司
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  • Claims
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Problems solved by technology

[0004] Embodiments of the present invention provide a sentence recognition method and device, a storage medium, and electronic equipment to at least solve the problem in the related art that the transfer effect of the sentence recognition training model between different fields is poor, and it is difficult to effectively complete the technology of target sentence recognition question

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  • Statement recognition method and device, storage medium and electronic equipment
  • Statement recognition method and device, storage medium and electronic equipment
  • Statement recognition method and device, storage medium and electronic equipment

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Embodiment Construction

[0061] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part 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 making creative efforts shall fall within the protection scope of the present invention.

[0062] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses a statement recognition method and device, a storage medium and electronic equipment. The statement recognition method comprises the following steps: obtaining statement data to be identified, and performing word segmentation operation on the statement data to obtain vocabulary data; and inputting the obtained vocabulary data into a trained language model to obtain an identification result used for representing whether the statement data contains abnormal data or not, wherein the language model is a model obtained by training a to-be-trained language model by using an unlabeled sample statement set and a labeled sample statement set, and the sample statement set comprises a first sample statement set and a second sample statement set, and statements in the first sample statement set and statements in the second sample statement set come from different data sources. According to the statement recognition method and device, the technical problems of relatively poor migration effect of statement recognition training models in different fields and difficulty in effectively completing target statement recognition in related technologies are solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a sentence recognition method and device, a storage medium and electronic equipment. Background technique [0002] In the current process of sentence recognition, there are many different sources of sentence data, such as public account articles, external chain articles, news, videos, web pages, small programs, user searches, etc. The above data are comprehensively used in related products . Among them, part of the sentence information in the above data needs to be further filtered according to actual needs. In related technologies, the detection and filtering of sentence data from different sources is to use a large amount of labeled data as training samples for supervised language model training. Most of the generated language models are only suitable for the sentence domain where the labeled samples are located (such as article titles). When the same language model is migrate...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F40/284
CPCG06F16/3346G06F40/284
Inventor 唐亚腾钟滨徐进王志平
Owner 深圳市雅阅科技有限公司
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