Target statement identification method and device

Abstract

The embodiment of the invention provides a target statement identification method and device. The method includes the steps of obtaining to-be-processed text which includes one or a plurality of natural language statements; extracting recognition features of each statement, wherein the recognition features include a first feature and / or a second feature, the first feature is used for indicating features of the statement in the semantic aspect, and the second feature is used for indicating features of the statement in the text aspect; and identifying target statements in the text according to aprebuilt target statement recognition model and the recognition features of each statement in the text. According to the target statement identification method and device, statements belongs to the target statements (such as graceful statements) can be automatically found, and thus target statement identification efficiency is greatly improved; meanwhile, the identification standard is based on objective features and models, so that identification results are objective, and thus the subjectivity problem during manual identification is solved.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a target sentence recognition method and device. Background technique [0002] When people read an article (such as a student's composition or other text content), they often look for some target sentences, such as beautiful sentences, in the article for a certain purpose. The existing target sentence recognition methods generally rely on manual reading of the article, and then point out the target sentence in the article. For example, when correcting a composition, the teacher can mark the beautiful sentences in the composition and give corresponding comments, which is of great significance for students to improve their composition level. The beautiful sentences generally refer to those with beautiful expressions and unique insights. Sentences, such as sentences using more idioms, citing classics, etc. [0003] However, the inventor found in the process of realizing ...

AI Technical Summary

Problems solved by technology

In this new situation, the teacher's workload has begun to increase exponentially, especially the teacher's correction of the composition, which is time-consuming and laborious

At the same time, when the teacher corrects the composition one by one, the subjectivity is often relatively large. Different teachers may have different judgment results on which target sentences in the same composition. That is, the recognition result depends entirely on the person who reads the article, which is not conducive to students' composition Level up

Images