Baidu Online Network Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Meng Liao

Haifeng Wang

Hua Wu

Lei Shi

Xinyu Wang

Yanjun Ma

Chen Bo Li

Jingzhou He

Di Jiang

Xingjian Li

Weimeng Zhang

Xingwu Sun

Haojie Wei

Guohua Li

Ming Zong

Xijuan Zhang

A searching method and a searching apparatus based on a neural network and a search engine are disclosed, the searching method including: acquiring a query and a pre-query input by a user; acquiring a plurality of search results according to the query; generating a target term vector representation according to the query, the pre-query and the plurality of search results based on an MLP; and forecasting the target term vector representation based on a semantic model of a deep neural network so as to acquire a plurality of s optimized search results corresponding to the query.

Searching method and searching apparatus based on neural network and search engine

Embodiments of the present invention provide a method, system and storage medium for implementing intelligent question answering. The method includes: receiving a query question; performing a semantic analysis of the question; performing corresponding search processing for the question based on a result of the semantic analysis, wherein the search processing includes search processing performed for the question by at least one of a semantic relationship mining system, a text library search system, a knowledge base search system, and a question and answer library search system; and returning an answer based on a result of the search processing. In this way, the accuracy of answers to the questions is effectively improved.

Method, system and storage medium for implementing intelligent question answering

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Beijing, China

Meng Liao