Dual-chain Unequal-state CRF for Chinese New Word Detection and POS Tagging

摘要：

In Chinese language processing, new words are particularly problematic. It is impossible to get a complete dictionary as new words can always be created. We proposed a unified Dual-chain unequal-state CRF model to detect new words together with their part-of-speech in Chinese texts regardless of the word types such as compound words, abbreviation, person names, etc. The Dual-chain Unequal-state CRF model has two state chains with unequal number of states. The unequal state chains could model flexible hierarchical lexical information for both Chinese new word detection and POS tagging, and also integrate complex context features like the global information. The experimental results show that the proposed method is capable of detecting even low frequency new words and their parts-of-speech synchronously with satisfactory results.

关键词： new word detection dual-chain unequal-state CRF POS tagging

作者: Xiao SUN Fuji REN Degen HUANG

作者单位: Dept.of Information Science & Intelligent Systems,Tokushima University,Tokushima,Japan Dept.of Computer Science & Engineering,Dalian University of Technology,Liaoning,China

会议类型: 国际会议

会议名称: The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-19（万方平台首次上网日期，不代表论文的发表时间）