Intelligent dialogue system response method based on tree kernel computing and intelligent dialogue system

A dialogue system and tree core technology, applied in computing, computer parts, special data processing applications, etc., can solve problems such as loss of semantic information, a large number of, and lack of short text expression ability, and achieve the effect of improving accuracy.
CN110287282AInactive Publication Date: 2019-09-27HUNAN UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
HUNAN UNIV
Publication Date
2019-09-27
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention provides an intelligent dialogue system response method based on tree kernel computing and an intelligent dialogue system. The response method comprises the following steps: training Chinese words to obtain a word vector table; acquiring a question sentence A1 input by a user, and selecting one question sentence as A2 by the system in sequence; inputting A1 and A2 into a word segmentation tool to obtain sentence word sets C1 and C2; inputting C1 and C2 into a syntactic analyzer to obtain a syntactic tree T1T2; trimming the T1 and the T2; inputting the trimmed T1 and T2 into a tree kernel calculation model to obtain similarity scores of the T1 and T2; calculating to obtain similarity scores of A1 and A2 according to the similarity scores of T1 and T2; recording similarity scores of A1 and A2, and judging whether another question sentence exists or not as A2; and selecting the question sentence with the maximum similarity with the A1, and outputting the answer corresponding to the question sentence as a result. Compared with the prior art, the tree kernel computing-based intelligent dialogue system response method and the intelligent dialogue system are higher in accuracy.
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Description

technical field

[0001] The invention relates to the field of natural language processing, in particular to an intelligent dialogue system answering method based on tree core calculation and the intelligent dialogue system. Background technique

[0002] The calculation of text semantic similarity is one of the basic tasks in natural language processing tasks, and plays an important role in many application scenarios such as machine translation, intelligent dialogue, and search engines.

[0003] In most of the current studies, the main goal of text semantic similarity calculation is to give an appropriate scoring model close to human judgment to calculate the similarity between texts. According to different input data, the calculation of text semantic similarity is divided into word level, sentence level, short text level and long text level. The similarity between a pair of sentences is generally measured by a similarity score, and the score ranges from 0 to 5. 0 means that ...

Claims

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