A Chinese Question Answering System Based on Neural Network

Abstract

The invention discloses a Chinese question answering system based on a neural network, which includes a user interface module, a question pre-segmentation module, a neuron pre-marking module, a learning and training module, a neuron knowledge base module, a semantic block recognition module, a question set index module and Answer reasoning module. Through this system, the SIE encoding method is first used to encode the words in the semantic block according to their relative positions; then the problem of identifying the semantic block of the question sentence is transformed into a label classification problem, and the classification model based on the neural network is used to determine the semantic structure of the question sentence ;Finally, combined with the semantic structure of the question, realize the similarity calculation of the question based on the neural network, and compare the weights between the semantic features of the question by extracting the semantic features of the marked question to provide a basis for the final answer reasoning. The invention integrates the syntax, semantics and context knowledge of sentences, and can simulate the process of processing sentences by humans.

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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