Abstract
Most collocation extraction algorithms use a single set of criteria and a single threshold which is not quite appropriate because different types of collocations have different behaviors. This paper presents a window-based Chinese collocation extraction system, which identifies different types of collocations separately. By taking into consideration of compositional, non-substitutable, and non-modifiable properties as well as statistical significance, Chinese collocations are classified into four types. A multi-stage extraction system is then designed to separately identify different types of collocations by using different combinations of features. Furthermore, heuristic rules based on dependency knowledge are applied to filter out some pseudo collocations. Experiments show that the proposed system achieves better F1performance compared to most existing algorithms for Chinese collocation extraction.
Original language | English |
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Title of host publication | IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering |
Pages | 308-315 |
Number of pages | 8 |
DOIs | |
Publication status | Published - 1 Dec 2007 |
Event | International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007 - Beijing, China Duration: 30 Aug 2007 → 1 Sept 2007 |
Conference
Conference | International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007 |
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Country/Territory | China |
City | Beijing |
Period | 30/08/07 → 1/09/07 |
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Information Systems and Management