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Displaying 1-6 out of 6 total
Nested Template-based Model for Chinese-Japanese Machine Translation
Found in: Computational Science and Engineering, IEEE International Conference on
By Xiao Sun,Degen Huang
Issue Date:August 2011
pp. 161-166
Template-based Machine Translation model has been adopted in practical translation systems. In order to build a practical Chinese-Japanese Machine Translation system, we continue to extend Template-based Model. In order to make Template-based Model more pr...
A Two-Phase Bio-NER System Based on Integrated Classifiers and Multiagent Strategy
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Lishuang Li, Wenting Fan, Degen Huang
Issue Date:July 2013
pp. 897-904
Biomedical named entity recognition (Bio-NER) is a fundamental step in biomedical text mining. This paper presents a two-phase Bio-NER model targeting at JNLPBA task. Our two-phase method divides the task into two subtasks: named entity detection (NED) and...
DBS Application to Chinese Adjectives
Found in: Computational Intelligence and Security, International Conference on
By Qiuxiang Feng,Degen Huang,Xiuying Li,Rongpei Wang
Issue Date:December 2011
pp. 1466-1470
Database Semantics (DBS ) is applied to the analysis of Chinese sentences, especially those with adjectives. Chinese adjectives function as attributives, predicates and adverbials. The predicate adjectives can be followed by aspect markers and objects, whi...
A Hybrid Model Based on CRFs for Chinese Named Entity Recognition
Found in: Advanced Language Processing and Web Information Technology, International Conference on
By Lishuang Li, Zhuoye Ding, Degen Huang, Huiwei Zhou
Issue Date:July 2008
pp. 127-132
This paper presents a hybrid model and the corresponding algorithm combining Conditional Random Fields (CRFs) with statistical methods to improve the performance of CRFs for the task of Chinese Named Entity Recognition (NER). CRFs has a good performance in...
An Integrative Approach to Chinese Named Entity Recognition
Found in: Advanced Language Processing and Web Information Technology, International Conference on
By Degen Huang, Xiao Sun
Issue Date:August 2007
pp. 171-176
This paper demonstrates an effective integrative way to recognize the Chinese Named Entities(NEs) in Chinese text, which extends the Maximum Matching and Second-Maximum Matching (MMSM) model while including the POS (Part-of-speech) in the segmentation dire...
Mining English-Chinese Named Entity Pairs from Comparable Corpora
Found in: ACM Transactions on Asian Language Information Processing (TALIP)
By Degen Huang, Lian Zhao, Lishuang Li, Peng Wang
Issue Date:December 2011
pp. 1-19
Bilingual Named Entity (NE) pairs are valuable resources for many NLP applications. Since comparable corpora are more accessible, abundant and up-to-date, recent researches have concentrated on mining bilingual lexicons using comparable corpora. Leveraging...