Text topic sentence extraction method

An extraction method and topic sentence technology, applied in the direction of instruments, digital data processing, calculation, etc., can solve the problems of not considering the interaction of sentences, single processing granularity, etc., and achieve the effect of wide range and easy expansion

Pending Publication Date: 2022-02-15
四川启睿克科技有限公司
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Problems solved by technology

The main problems exposed by the current research on text topic sentence extraction are: the influence of text genre and writing structure on the text topic sentence is not considered; when processing text, the granularity of text processing is single, directly setting the granularity to a single sentence level; directly constructing sentences Sentence score is calculated based on the vector feature of the vector feature, and the sentence with the highest score is selected as the topic sentence, without considering the interaction between sentences

Method used

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Embodiment Construction

[0031] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be described in detail below. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other implementations obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0032] This embodiment takes the expository essay "Suzhou Garden" by writer Ye Shengtao as an example to illustrate the extraction of text topic sentences.

[0033] like figure 1 As shown, a text topic sentence extraction method includes the following steps:

[0034] Step 1. Enter the text content T and genre G. The text of this example is "Suzhou Garden", and the genre is explanatory text.

[0035] Step 2. Build a text writing structure model M and calculate the model component ...

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Abstract

The invention discloses a method for extracting a text topic sentence. The method comprises the following steps: constructing a writing structure model according to a text body, and calculating the weight of each constituent part of the model and the topic value degree of a corresponding text block; constructing an iterative model and calculating the value degree, and dynamically adjusting the text processing granularity; using the sentence mutual information as a relative weighted value,creating the decision tree based on weight proof to extract the text topic sentences, the invention can be applied to extraction of the text topic sentences with complex styles, changeable writing structures and uncertain capacity, and the purposes of accuracy, easy expansion and wide range are achieved.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a method for extracting text topic sentences. Background technique [0002] The text topic sentence is a sentence used to summarize the central idea, content core, author's writing intention, and expressed thoughts and feelings of a literary work. Text topic sentence extraction can help readers quickly obtain text topics, and is widely used in natural language processing research fields such as search engines, intelligent question answering, and automatic summarization. The main problems exposed by the current research on text topic sentence extraction are: the influence of text genre and writing structure on text topic sentences is not considered; when processing text, the granularity of text processing is single, and the granularity is directly set to a single sentence level; directly construct sentences The vector feature of , calculates the sentence score...

Claims

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Application Information

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IPC IPC(8): G06F40/258G06F40/216
CPCG06F40/258G06F40/216
Inventor 罗东霞杜科
Owner 四川启睿克科技有限公司
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