Generation method of single document summaries

A technology of document summarization and summarization, applied in the field of single-document summarization generation, can solve the problems of low summarization accuracy and underutilization of a single document, and achieve the effects of accurate extraction, improved extraction accuracy, and high summarization accuracy.
CN103136359AInactive Publication Date: 2013-06-05NINGBO CHENGDIAN TAIKE ELECTRONICS INFORMATION TECH DEV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
NINGBO CHENGDIAN TAIKE ELECTRONICS INFORMATION TECH DEV
Publication Date
2013-06-05
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention discloses a generation method of single document summaries. The method includes the steps of clustering paragraphs of a document to be summarized, and defining each class as a semantic block; calculating similarity of each sentence pair in the semantic blocks to score one sentence with the other sentence, and defining the sentence with highest score as a sentence expressing partial core content in each semantic block; and connecting the sentences to generate a summary according to emergency sequence of core sentences. Word similarity and named entity recognition are introduced to single document summaries, so that extracting precision of summaries is higher. Clustering speed is increased by means of single pass. Single document summaries can be extracted accurately. The generation method is high in accuracy of extracting news and announcement documents.
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Description

technical field

[0001] The invention belongs to the technical field of computer applications, and in particular relates to a method for generating single-document summaries. Background technique

[0002] With the rapid increase in the number of electronic texts, the demand for fast access to text information is becoming stronger and stronger. As a technique to condense textual information, automatic summarization can play an important role. The purpose of automatic summarization is to provide users with short text representations. Form the shortest possible abstract while retaining as much information from the original text as possible. For an ideal extractive summary, it has three basic characteristics: it is derived from the text, retains important information, and is short in length. According to the number of texts the abstract comes from, it can be divided into single-text abstract and multi-text abstract. According to the way of summarization, it is divided into ge...

Claims

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