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Intelligent question answering method and device

A technology for intelligent question answering and questioning, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of ignoring the understanding of sentence meaning, complex construction, insufficient similarity of the overall sentence meaning of sentences, etc., to achieve accurate analysis, Improve the effect of precision and high accuracy

Active Publication Date: 2018-12-18
BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
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Problems solved by technology

This method takes into account the relevant elements of semantic information, but the construction is relatively complicated, such as semantic similarity calculation based on ontology, etc.
The third method, based on the neural network corpus training feature extraction method, has also been vigorously developed in recent years, such as the study of sentence semantic similarity calculation based on Word2vec, which relies on the quality and quantity of corpus, pays attention to feature extraction, and ignores sentence meaning. understanding, cannot realize the real mining of semantics
This method draws on the relative definition of the membership degree to construct the fuzzy importance of words in the context, which improves the similarity of the word's sentence meaning, but it is insufficient in the overall sentence similarity of the sentence.

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Embodiment Construction

[0030] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are intended to illustrate the present invention, but not to limit the scope of the present invention.

[0031] There are several methods for calculating the semantic similarity of words in the prior art: The first one: A statistical method based on word co-occurrence. This method mainly counts the frequency of words in sentences, such as TF-IDF algorithm, Jaccard Similarity Coefficient method and Metzler's improved method based on overlap. These methods are simple and efficient to implement, but completely ignore the lexical and semantic information of sentences. The second is an approach based on lexical and semantic information. This method considers the relevant elements of semantic information, but the construction is relatively complex, such as the calculation of semantic similarity based on ...

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Abstract

The present invention provides an intelligent question answering method and device. The method comprises the steps of performing word segmentation processing on the text to be solved, and determininga context for semantic similarity judgment according to the word segmentation result of the problem to be solved; collecting a certain number of frequently asked questions according to the context; carrying out word segmentation processing on the text of all the frequently asked questions, and building a context map according to the word segmentation results of all the frequently asked questions;for any of that frequently ask questions, calculating the semantic similarity between the frequently ask questions and the questions to be answered according to the word segmentation result of the frequently asked questions, the word segmentation result of the questions to be answered and the context map; taking candidate answers corresponding to frequently asked questions having the highest similarity as answers corresponding to the questions to be answered. The embodiment of the invention can more accurately analyze the questions to be answered and provide the answers.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, and more particularly, to an intelligent question answering method and device. Background technique [0002] In the question answering system, the general chat answer push has strong randomness. However, in the field of professional applications, the reply content needs to be precise. The research that uses computer to identify "user questions" and compare the semantics of existing sentences in the sentence database is called sentence similarity research. As a key problem in natural language processing, it has always been a hot and difficult point of research. In addition to mining the relationship between words and the degree of overlap of sentences themselves to calculate sentence similarity (such as relying on WordNet architecture and relying on HowNet architecture and corpus), feature extraction based on neural networks has also begun to develop. [0003] Expert...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F40/289G06F40/30
Inventor 余军罗长寿郑亚明魏清凤王富荣曹承忠陆阳郭强于维水王静宇
Owner BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
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