Chinese question-answering system based on neural network

Abstract

The invention discloses a Chinese question-answering system based on a neural network, which comprises a user interface module, a question word pre-segmentation module, a nerve cell pre-tagging module, a learning and training module, a nerve cell knowledge base module, a semantic block identification module, a question set index module and an answer reasoning module. The system comprises the steps of: firstly adopting an SIE encoding mode to encode the in-vocabulary words of the semantic block according to corresponding position, later converting an identification problem of the question semantic block into a tagging classification problem, and then adopting a classification model based on the neural network to determine the semantic structure of the question, and finally combing the semantic structure of the question to realize the question similarity computation based on the neural network and comparing the weight of various semantic features of the question by extracting the tagged semantic features of the question, thereby providing a basis for final answer reasoning. The Chinese question-answering system integrates the syntax, the semantics and the contextual knowledge of the question and can simulate the process that human beings process the sentence.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, in particular to a Chinese question answering system based on a neural network. Background technique [0002] Question Answering System (Question Answering System) refers to a system that can answer questions that are input by computer users and described in natural language, and is generally implemented by computer software system technology. The question answering system integrates natural language processing, information retrieval, and knowledge representation, and is increasingly becoming a research hotspot in the world. It not only allows users to ask questions in natural language, but also returns users a concise and accurate answer instead of some related web pages. Therefore, compared with traditional search engines that rely on keyword matching, the question answering system can better meet the user's retrieval needs and find out the answers that users need more accurately...

AI Technical Summary

Problems solved by technology

However, compared with English, Chinese has the characteristics of flexible words and complex and changeable syntax. Simple imitation of English automatic question answering technology has led to the prevalence of Chinese automatic question answering systems. The coverage of the Chinese knowledge base is narrow, and the accuracy and recall of the system are very low. Low problem, which hurts the user experience

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