Intelligent Question Answering System Based on Knowledge Graph

Author:

Feng Xijin1,Liu Qi1,Liu Xiaodong2

Affiliation:

1. School of Computer and Software (Nanjing University of Information Science and Technology) Engineering Research Center of Digital Forensics (Nanjing University of Information Science and Technology),Nanjing,China

2. School of Computing (Edinburgh Napier University),Edinburgh,UK

Funder

National Natural Science Foundation of China

Major Program of the National Social Science Fund of China

333 High-Level Talent Cultivation Project of Jiangsu Province

China Natural Science Foundation Council

Research Programs (Natural Science Foundation) of Jiangsu Province

Publisher

IEEE

Reference51 articles.

1. Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs

2. Construction of Traditional Chinese Medicine Knowledge Graph and Its Application[J];ruan;Journal of Medical Informatics,2016

3. Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision[C];chen;Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics Vancouver,2017

4. Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering;IEEE Transactions on Computational Social Systems;2024-02

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