Chinese abbreviation identification using abbreviation-template features and context information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4285 LNAI, Issue , 2006, Pages 245-255

  Sun, Xu ^a   Wang, Houfeng ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHINESE CORPUS; CLASSIFICATION TASKS; CONTEXT INFORMATION; GENERALIZATION CAPABILITY; IDENTIFICATION PROBLEM; MORPHOLOGICAL ANALYSIS; POSTERIOR PROBABILITY; SUBSTRING; SVM MODEL;

LINGUISTICS;

INDUSTRIAL RESEARCH;

EID: 77049089741     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11940098_26     Document Type: Conference Paper

References (13)

1. J.Chang, H.Schütze and R.Altman, Creating an online dictionary of abbreviations from MEDLINE, Journal of American Medical Information Association, 2002, 9(6), pp. 612-620.
2. Jianfeng Gao, Mu Li, and Changning Huang. Improved Source-channel Models for Chinese Word Segmentation. In Proceedings of the 41st Annual Meeting of Association for Computational Linguistics (ACL). July 8-10, 2003. Sapporo, Japan. pp. 272-279.
3. Jin-Shin Chang and Yu-Tso Lai. A Preliminary Study on Probabilistic Models for Chinese Abbreviations. In Proceedings of the Third SIGHAN Workshop on Chinese Language Learning, ACL, 2004, Barcelona, Spain, pp. 9-16.
4. Jian Sun, Jianfeng Gao, Lei Zhang, Ming Zhou and Chang-Ning Huang. Chinese Named Entity Identification Using Class-based Language Model. In Proc. of the 19th International Conference on Computational Linguistics, Taipei, 2002, pp. 967-973.
5. Katz, S.M. 1987. Estimation of Probabilities from Sparse Data for the Language Model Component of a Speech Recognizer. IEEE ASSP 35(3):400-401.
6. Och, Franz Josef. 1999. An efficient method for determining bilingual word classes. In EACL-99: Ninth Conference of the European Chapter of the Association for Computational Linguistics, pp. 71-76.
7. Richard Sproat, Chilin Shih, William Gale and Nancy Chang. 1996. A Stochastic Finite-State Word-Segmentation Algorithm for Chinese. Computational Linguistics. 22(3): 377-404.
8. Richard Sproat and Chilin Shih. 2002. Corpus-Based Methods in Chinese Morphology and Phonology. In: COLING-2002.
9. Schwartz, A. and Hearst, M. 2003. A simple algorithm for identifying abbreviation definitions in biomedical texts, Pacific Symposium on Biocomputing (PSB 2003), Kauai, Hawaii.
10. S.Martin, J.Liermann and H.Ney. 1998. Algorithms for Bigram and Trigram Word Clustering. Speech Communication, 24(1): 19-37, 1998.
11. Taghva, K. and Gilbreth, J. (1999), Recognizing acronyms and their definitions, International journal on Document Analysis and Recognition, pp. 191-198.
12. T. Joachims, Making large-Scale SVM Learning Practical. In: B. Schkopf and C. Burges and A. Smola (ed.), Advances in Kernel Methods - Support Vector Learning, MIT Press, 1999.
13. Yeates, S. (1999), Automatic extraction of acronyms from text. In Third New Zealand Computer Science Research Students' Conference, pp. 117-124.