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Key sentence extraction method, system, and computer-readable storage medium

An extraction method and key sentence technology, applied in the field of data processing, can solve the problems of long reply text and difficulty for users to quickly understand the relevant information of the answer, and achieve the effect of high work efficiency

Active Publication Date: 2021-12-24
无码科技(杭州)有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the question-and-answer search or retrieval-type question-and-answer scenario, the corresponding answer text is retrieved and fed back based on the question raised by the user. When the searched answer text is large or the answer text is long, it is difficult for the user to quickly understand the answer-related information

Method used

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  • Key sentence extraction method, system, and computer-readable storage medium
  • Key sentence extraction method, system, and computer-readable storage medium
  • Key sentence extraction method, system, and computer-readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] Embodiment 1, a kind of key sentence extracting method, as figure 1 shown, including the following steps:

[0074] S100, obtaining a target question and a target answer;

[0075] The target question is a question input by the user, and the target question will have at least one corresponding answer text, and each answer text is used as the target answer in turn to extract key sentences.

[0076] S200. Sentence processing is performed on the target answer to obtain several answer sentences;

[0077] S300. Calculate the correlation between each answer sentence and the target question, and obtain a corresponding correlation score;

[0078] S400. Combine each answer sentence in pairs to obtain several answer pairs, calculate the coherence between the two answer sentences in the answer pair, and obtain a corresponding coherence score;

[0079] The answer sentence described in this step is also the answer sentence obtained by the step S200 clause processing;

[0080] S500...

Embodiment 2

[0199] Embodiment 2, a kind of answer sentence extraction system, such as Figure 4 shown, including:

[0200] The data construction module 100 is used to obtain the target question and the target answer and is also used to perform sentence processing on the target answer to obtain several answer sentences;

[0201] A correlation calculation module 200, configured to calculate the correlation between each answer sentence and the target question, and obtain a corresponding correlation score;

[0202] The coherence calculation module 300 is used to combine each answer sentence in pairs to obtain a number of answer pairs, calculate the coherence between the two answer sentences in the answer pair, and obtain a corresponding coherence score;

[0203] Clustering module 400, for clustering each answer sentence based on the coherence score, to obtain several groups of sentence clusters;

[0204] The sentence cluster scoring module 500 is used to extract the correlation...

Embodiment 3

[0221] Embodiment 3. A computer-readable storage medium, which stores a computer program. When the program is executed by a processor, the steps of any key sentence extraction method in Embodiment 1 are implemented.

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Abstract

The invention discloses a key sentence extraction method, system, and computer-readable storage medium, wherein the key sentence extraction method includes the following steps: obtaining a target question and a target answer; performing sentence processing on the target answer to obtain several answer sentences; calculating each answer The correlation between the sentence and the target question is obtained to obtain the corresponding correlation score; the answer sentences are combined in pairs to obtain a number of answer pairs, and the coherence between the two answer sentences in the answer pair is calculated to obtain the corresponding coherence score; Based on the coherence score, each answer sentence is clustered to obtain several sets of sentence clusters; the correlation score corresponding to each answer sentence in the sentence cluster is extracted, and the relationship between the sentence cluster and the target question is calculated based on the extracted correlation score. Correlation degree: extract each answer sentence in the sentence cluster with the greatest correlation degree, and obtain the corresponding key sentence. The key sentences extracted by the present invention take both coherence and relevance into consideration, and can accurately express the central content of the target answer.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a key sentence extraction technology. Background technique [0002] With the explosive growth of Internet information, the cost of obtaining effective information is getting higher and higher. How to quickly obtain useful information from massive amounts of information is particularly important. [0003] In the question-and-answer search or retrieval-style question-and-answer scenario, the corresponding answer text is retrieved and fed back based on the question raised by the user. When there are many answer texts retrieved or the answer text is long, it is difficult for the user to quickly understand the information related to the answer. Contents of the invention [0004] The present invention aims at the shortcoming that it is difficult for users to quickly obtain and understand effective information in reply texts in the prior art, and provides a key sentence extraction techn...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06F16/35G06F40/211G06F40/30G06K9/62
CPCG06F16/3329G06F16/355G06F40/211G06F40/30G06F18/23G06F18/22G06F18/214
Inventor 余忠庆冯大辉
Owner 无码科技(杭州)有限公司
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