Field question classification method combining syntax structural relationship and field characteristic

Abstract

The invention relates to a method for classifying field questions by integrating with syntax structure relationship and field characteristics, which comprises the following steps: field terms are collected; a special field question classification system is defined; the syntax structures of the questions are analyzed; a sentence trunk is extracted; the sentence truck and the field vocabulary are taken as question classification characteristics; a question classification model is built through an improved Bayesian classification algorithm method; a special field question classification training corpus and a test corpus are set up; a special field question classifier is set up. Because question classification is a very important step in an answering system and a key factor for establishing answer extraction strategies and positioning answers, the method of the invention can select the sentence trunk and the field vocabulary as the classification characteristics based on the syntax structure analysis by integrating with the field characteristics, adopts the improved Bayesian classification algorithm method, builds the question classification model and takes the question classification test in the field of Yunnan tourism; the result shows the method is effective, and improves the field question classification accuracy, thereby offering consultancy service to the users with high efficiency, quickly and accurately.

Description

technical field [0001] The invention relates to a method for classifying domain problems, in particular to a method for classifying problems in restricted domains that combines syntactic structure relations and domain characteristics. Background technique [0002] Question classification is a very important step in the question answering system. The accuracy of question classification has a great impact on the information retrieval and answer extraction of the question answering system. Only on the basis of correct question classification can correct answer extraction be possible. . [0003] At present, the research on question classification mainly focuses on two aspects. One is the rule-based method, which extracts the characteristic rules of the combination of interrogative words and other related words of various question types, and determines the type of the question through the rules. The classification effect of this method depends on the composition rules of various...

AI Technical Summary

Problems solved by technology

The above classification methods are mainly for the classification of open domain problems, without considering the characteristics of the domain

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