Automatic question-answer processing method and automatic question-answer system

Abstract

The invention discloses an automatic question-answer processing method and an automatic question-answer system. The method includes: acquiring question text from question-answer data pairs collected in advance, performing word separation on the question text to obtain the corresponding key words of the question text, and building the index relation between the key words and the question text; whenoptional target question text is received, and performing word separation on the target question text to acquire target key words corresponding to the target text question text; according to the index relation of the key words and the question text, determining key words matched with the target key words, and acquiring the question text having index relation with the key words to serve as the candidate question text; calculating the semantic similarity of the candidate question text and the target question text; determining an answer corresponding to the target question text according to thesemantic similarity. The method has the advantages that the semantic similarity of the target question text and each question text is considered to determine the answer of the target question text, and the accuracy of automatic question-answer processing is increased.

Description

technical field [0001] The invention relates to the field of data processing, in particular to an automatic question answering processing method and an automatic question answering system. Background technique [0002] Automatic question answering system (English: Question-Answer system; QA system for short) is a current research hotspot. The current automatic question answering system is mainly realized based on the method of retrieval. Specifically, after the system collects a large number of question-answer data pairs, it performs word segmentation processing on the question text, and establishes and compares the words obtained after the word segmentation processing. The index pair between the question text and stored in the database. When the system receives the target question, it will index the question text that best matches the target question from the index pairs in the database, and return the answer corresponding to the question text as the answer output of the t...

AI Technical Summary

Problems solved by technology

[0003] However, the automatic question answering system implemented by the retrieval-based method mentioned above matches the target question only based on string similarity, without considering whether it is semantically close, that is, even if there are question texts that are semantically close to the target question , the existing automatic question answering system cannot match, so the matching accuracy of the automatic question answering system needs to be strengthened

Images