True Knowledge: Open-Domain Question Answering Using Structured Knowledge and Inference

Author:

Tunstall-Pedoe William

Abstract

This article gives a detailed description of True Knowledge: a commercial, open-domain question answering platform. The system combines a large and growing structured knowledge base of common sense, factual and lexical knowledge; a natural language translation system that turns user questions into internal language-independent queries and an inference system that can answer those queries using both directly represented and inferred knowledge. The system is live and answers millions of questions per month asked by internet users.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Subject

Artificial Intelligence

Cited by 22 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. Situational Data Integration in Question Answering systems: a survey over two decades;Knowledge and Information Systems;2024-06-18

2. CEDG-GeoQA: Knowledge base question answering for the geoscience domain via Chinese entity description graph;Earth Science Informatics;2024-04-09

3. Research on the Intelligent Question-Answering Model of Electric Power Knowledge Based on Deep Learning;2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2024-02-27

4. Metaknowledge Enhanced Open Domain Question Answering with Wiki Documents;Sensors;2021-12-17

5. Intelligent Question Answering System Based on Knowledge Graph;2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2021-12

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