Intelligent question answering method and device

An intelligent question-and-answer and question-answering technology, applied in the field of intelligent question-and-answer methods and devices, can solve problems such as ignoring the understanding of sentence meaning, complex construction, and insufficient similarity of the overall sentence meaning of the sentence, and achieve the goal of improving precision, accurate analysis, and high accuracy Effect

Active Publication Date: 2020-11-27
BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
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Problems solved by technology

This method considers 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 implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended 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 the co-occurrence of words. This method mainly counts word frequency in sentences, such as TF-IDF algorithm, Jaccard SimilarityCoefficient method, and Metzler's improved method based on overlap. These methods are simple and efficient, but completely ignore the lexical and semantic information of sentences. The second is an approach based on lexical and semantic information. This method takes into account the relevant elements of semantic information, but the construction is relatively complicated, such as semantic similarity cal...

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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 specifically, to an intelligent question answering method and device. Background technique [0002] In the question answering system, the push of general chat answers is highly random. But in the field of professional applications, the content of the reply needs to be precise. The study of comparing the semantics of "user questions" with computer recognition and existing sentences in the sentence database is called sentence similarity research. As a key issue in natural language processing, it has always been a research hotspot and difficulty. In addition to mining the inter-word relationship of the sentence itself and calculating the sentence similarity by overlapping degrees (such as relying on the WordNet architecture and relying on the HowNet architecture and corpus), the research on sentence similarity has also begun to develop feature extraction based ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06F40/289G06F40/30
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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