@inproceedings{cd5ed11e4a91424b89304dae8aaf961a,
title = "Chinese terminology extraction using window-based contextual information",
abstract = "Terminology extraction is an important work for automatic update of domain specific knowledge. Contextual information helps to decide whether the extracted new terms are terminology or not. As extraction based on fixed patterns has very limited use to handle natural language text, we need both syntactical and semantic information in the context of a term to determine its termhood. In this paper, we investigate two window-based context word extraction methods taking into account of syntactic and semantic information. Based on the performance of each method individually, a hybrid method which combines both syntactical and semantic information is proposed. Experiments show that the hybrid method can achieve significant improvement.",
keywords = "Chinese terminology, Termhood, Terminology extraction, Unithood, Window-based contextual word",
author = "Luning Ji and Mantai Sum and Qin Lu and Wenjie Li and Yirong Chen",
year = "2007",
month = dec,
day = "20",
language = "English",
isbn = "354070938X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "62--74",
booktitle = "Computational Linguistics and Intelligent Text Processing - 8th International Conference, CICLing 2007, Proceedings",
note = "8th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2007 ; Conference date: 18-02-2007 Through 24-02-2007",
}