A question-answer pair retrieval method and a community question-answer retrieval system

Abstract

The invention discloses a question-answer pair search method, which comprises the following steps of extracting at least one key word from a question sentence and obtaining an expansion word of each key word and final similarity of each expansion word and the corresponding key word; analyzing a dependence relationship between every two lexical items with the grammatical relation in the question sentence; determining a distance weight capable of reflecting compact degree between every two lexical items in the question sentence according to an importance weight which is preset for the dependence relationship; determining correlation between every two lexical items in the question sentence according to the distance weight; determining a lexical item weight of each lexical item in the question sentence according to the correlation and searching a question-answer pair related to the question sentence according to the lexical item weight of each lexical item in the question sentence; computing a lexical item weight of each expansion word according to the final similarity of each expansion word and the corresponding key word and searching question-answer pair related to the question sentence according to the lexical item weight of each expansion word; and sorting and displaying all searched question-answer pairs according to a preset rule. The invention also discloses a community question-answer search system.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to a question-answer pair retrieval method and a community question-answer retrieval system. Background technique [0002] In recent years, the community question answering system has gradually become a very popular and practical Internet application. Different from the traditional question answering system, in the community question answering system, users can not only ask and answer questions of any field and type, but also Evaluate and vote on the answers of other users, and even directly search for similar questions in the historical question answer database accumulated by the system, which greatly enriches and satisfies the information needs of users. [0003] When users want to use the community question answering system to retrieve the same or similar questions and their answers as they ask themselves, since the user input is a question sentence described in nat...

AI Technical Summary

Problems solved by technology

[0003] When users want to use the community question answering system to retrieve the same or similar questions and their answers as they ask themselves, since the user input is a question sentence described in natural language, its complex structure and lengthy sentence structure make the question sentence It will be more difficult to extract important keywords from

Due to the inability to accurately obtain the core keywords in the question sentence, the search results are not accurate enough

Images