Abstract
This paper presents a simple rule based approach to organization name recognition in Chinese text. Based on Chinese knowledge sources, our approach detects potential left and right boundaries in a text, and then determines whether a left-right boundary pair encloses an organization name by using a length constraint and non-organization name words/POS-tag constraints. Organization names with nested structure are also processed. This approach is easy to implement and the evaluation results are satisfactory.
This work is funded by National Natural Science Foundation of Chinese (No. 60473138).
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Houfeng, W., Wuguang, S. (2005). A Simple Rule-Based Approach to Organization Name Recognition in Chinese Text. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_86
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DOI: https://doi.org/10.1007/978-3-540-30586-6_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
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