Answer extraction method and system based on deep learning

Abstract

The invention discloses an answer extraction method and system based on deep learning. wherein an implementation of the method includes the steps of collecting knowledge fragments related to the answer of a question to be answered according to keywords in the question to be answered; based on the type of the question to be answered, analyzing the part-of-speech tagging of the knowledge fragment, and using the knowledge fragment containing the type of the question to be answered as a candidate answer; using the trained word2vec model to calculate the similarity between the keywords and words contained in the knowledge fragment in the candidate answer, and finding words that meet the similarity requirements as target candidate answers; substituting the words in the target candidate answers into the question to be answered to obtain a number of target statements, sorting each target statement by judging semantic information of each target statement, and using the target statement with thehighest score as the target answer. Through the extraction method and system, the answers of multiple words with higher similarity can be found, thereby improving the accuracy of the system.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and deep learning, and more specifically relates to an answer extraction method and system based on deep learning. Background technique [0002] Q&A robot refers to the natural language understanding technology as the core, which enables the computer to understand the questions raised by the user, realizes effective communication between humans and the computer, and provides powerful search capabilities to accurately answer the user's questions. Among them, the intelligent question answering system commonly used in computer customer service systems is an automatic question answering system, which is an artificial intelligence system that can understand users' questions and provide accurate answers through natural language technology. [0003] Most of the existing question answering systems first perform word segmentation and part-of-speech tagging in units of sentences. The expect...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above defects or improvement needs of the prior art, the present invention provides an answer extraction method and system based on deep learning, thereby solving the existing answer extraction method that can only identify answers to specific words but cannot identify similar words answer, resulting in technical problems with lower recognition accuracy

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