@inproceedings{1e35e4e39ee141708e9f049a35e70501,
title = "Chinese natural language processing based on semantic structure tree",
abstract = "For the problem of limited rule bases and inaccurate matching of Chinese Natural Language Processing (NLP), this paper presents a new NLP method based on Semantic Structure Tree (SST). Through establishing SST, this paper calculates the evaluation index to find out the most suitable semantic combination from all possible SST. In order to improve the semantic recognition recall and precision, this paper carries out the semantic recognition and the word segmentation synchronously. Application indicates that the proposed method can guarantee high recall and precision in Chinese natural language semantic recognition.",
keywords = "Natural language processing, Semantic recognition algorithm, Semantic structure tree, Word segmentation",
author = "Yin, \{Qi Jin\} and Wang, \{Shao Ping\} and Miao, \{Yi Nan\} and Dou Xin",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 International Conference on Computer Science and Applications, CSA 2015 ; Conference date: 20-11-2015 Through 22-11-2015",
year = "2017",
month = jan,
day = "6",
doi = "10.1109/CSA.2015.65",
language = "英语",
series = "2015 International Conference on Computer Science and Applications, CSA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "130--134",
booktitle = "2015 International Conference on Computer Science and Applications, CSA 2015",
address = "美国",
}