Calculating method for similarity of questions containing names in question answering field

Abstract

The invention discloses a calculating method for similarity of questions containing names in the question answering field. The similarities of a name part and a non-name part are calculated separately; considering the sentence structure, question similarity calculation is performed from the two aspects of sentence word orders and lengths, and finally according to the sentence semantic similarity and the structure similarity, weighing is performed to obtain the similarity of the whole sentence. The problem that when an existing sentence similarity algorithm is used for calculating sentences containing names, judgment conforming to human subjectivity cannot be obtained is solved. The method can more accurately work out the similarity of sentences containing names, and can be widely applied to the question answering field.

Description

technical field [0001] The invention relates to the technical field of question answering, in particular to a method for calculating the similarity of question sentences containing personal names in the field of question answering. Background technique [0002] The similarity calculation of questions has always been the basic and important research work in the field of artificial intelligence and natural language processing. It is also a research hotspot and has a very wide range of applications, such as question answering systems and information retrieval systems. [0003] At present, the algorithms for calculating the similarity of Chinese sentences can be roughly divided into the following categories: the first category is based on feature words; the second category is based on sentence structure; the third category is based on semantic dictionaries. First of all, the first type of method is based on the method of feature words. This method refers to extracting their feat...

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Problems solved by technology

[0005] The present invention aims to solve the problem that the difference between names and the importance of names to the entire sentence cannot be reflected when calculating the similarity of sentences in the current question-and-answer field, which will lead to unsatisfactory results of the similarity calculation of questions. It provides a A question-sentence similarity calculation method containing personal names in the question-and-answer field to improve the accuracy of question-sentence similarity calculations

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