@inproceedings{eda3179d236d46fa84d8235ea52d8f21,
title = "Attribute value extraction based on rule matching",
abstract = "Faced with the explosive growth of Internet information today, the Internet is full of public opinion information, which contains rich and valuable data and covers a large amount of false information. How to extract key information from the information published on the Internet is the content of this paper. Since the accuracy of the factual information provided by the encyclopedic text on the Internet is higher than other texts, and for the resume text of the character, the encyclopedic knowledge covers a large amount of unstructured information, and the information has high accuracy. The work of this research is based on the knowledge of Chinese network encyclopedia to obtain key information. The main method is to conduct experiments based on the rule matching mode and the method of extracting attribute values by the language technology platform tool of Harbin Institute of Technology. The experimental results prove the feasibility and accuracy of the extraction effect.",
keywords = "Attribute value extraction, Data processing, Rule matching",
author = "Yue Han and Weihong Han and Shudong Li and Zhen Wang",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2020.; 6th International Conference on Artificial Intelligence and Security,ICAIS 2020 ; Conference date: 17-07-2020 Through 20-07-2020",
year = "2020",
doi = "10.1007/978-981-15-8101-4_10",
language = "英语",
isbn = "9789811581007",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "92--104",
editor = "Xingming Sun and Jinwei Wang and Elisa Bertino",
booktitle = "Artificial Intelligence and Security - 6th International Conference, ICAIS 2020, Proceedings",
}