论文名称：Chinese New Word Detection and POS Tagging Based on DUCRF
论文类型：期刊论文
发表刊物：INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL
收录刊物：SCIE
卷号：12
期号：6
页面范围：1349-1358
ISSN号：1343-4500
关键字：New word detection; Semi-CRF; Dual-chain unequal-state CRF; POS tagging
摘要：In Chinese language processing, new words are particularly problematic. It is impossible to get a complete dictionary as new words call 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 stale 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.
发表时间：2009-11-01