Text question and answer matching system inspired by quantum interference

Abstract

The invention discloses a text question and answer matching method inspired by quantum interference; the method comprises the steps: extracting global and local question and answer features respectively to represent and optimize the matching accuracy of a question and answer system, the system comprising a question-answer composite system module, a word weight calculation module, an answer probability distribution module, a joint probability representation module and a dual feature fusion and score calculation module; respectively extracting local features of a question density matrix and a reduced density matrix of an answer sentence by constructing the question density matrix and the reduced density matrix of the answer sentence, wherein the local features of interference terms among words contained in the answer sentence are captured based on the reduced density matrix of the composite system under the enlightenment of quantum interference; fusing the feature information of the question sentence and the feature information of the answer sentence based on a joint probability representation module, and then extracting effective feature information through convolution; and finally, splicing global and local features and obtaining a final prediction matching result through a full connection layer. Based on the end-to-end quantum-like language model, the question and answer matching method for capturing global-local feature representation is provided, the problem that local interaction information is lost in the quantum language model is solved, and the question and answer matching effect is improved.

Description

technical field [0001] The invention relates to the technical fields of question answering task and language modeling in text matching. Specifically, a quantum interference-inspired text question-answer matching system is proposed based on a quantum composite system modeling quantum interference information, thereby effectively improving the correlation matching score between questions and answers in question-answering tasks. Background technique [0002] Text question answering system is a common subtask in the field of natural language processing, which requires the computer to answer the questions raised by users in natural language with accurate and brief natural language. As a derivative task of information retrieval, the development of question answering system also originated from people's demand for information acquisition. Its landing application involves scenarios such as search engines, online shopping recommendations, weather forecasts, and chat robots. Generall...

AI Technical Summary

Problems solved by technology

[0010] (2) The quantum language model has shown advantages over the classical language model in modeling the uncertainty of user intent and

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