An unsupervised method for extracting domain-specific affixes in biological literature

ACL 2007 - Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing

Volumn , Issue , 2007, Pages 33-40

  Liu, Haibin ^a   Blouin, Christian ^a   Kešelj, Vlado ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; TRANSLATION (LANGUAGES);

ANNOTATION SYSTEMS; BIOLOGICAL CORPUS; BIOLOGICAL LITERATURES; CONCEPT RECOGNITION; EXTRACTION PROCESS; ORIGINAL SYSTEMS; SYSTEM EFFICIENCY; UNSUPERVISED METHOD;

UNSUPERVISED LEARNING;

EID: 71649097162     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1572392.1572399     Document Type: Conference Paper

References (15)

1. Ethem Alpaydin. 2004. Introduction to Machine Learning. MIT Press.
2. William B. Cavnar and John M. Trenkle. 1994. N-gram-based text categorization. In Proc. SDAIR-94, 3rd Ann. Symposium on Doc. Analysis and Inf. Retr., pages 161–175, Las Vegas, USA.
3. Aaron Michael Cohen and William R. Hersh. 2005. A survey of current work in biomedical text mining. Briefings in Bioinformatics, 5(1):57–71.
4. Jenny Finkel, Shipra Dingare, Huy Nguyen, Malvina Nissim, Gail Sinclair, and Christopher Manning. 2004. Exploiting context for biomedical entity recognition: From syntax to the web. In Joint wsh. on NLP in Biomedicine and its Applications (JNLPBA-2004).
5. Kristofer Franzn, Gunnar Eriksson, Fredrik Olsson, Lars Asker Per Lidn, and Joakim Cster. 2002. Protein names and how to find them. International Journal of Medical Informatics special issue on NLP in Biomedical Applications, pages 49–61.
6. Kristofer Franzn, Gunnar Eriksson, Fredrik Olsson, Lars Asker Per Lidn, and Joakim Cster. 2003. Mining the Biomedical Literature in the Genomic Era: An Overview. J. Comp. Biol., 10(6):821–855.
7. K. Fukuda, T. Tsunoda, A. Tamura, and T. Takagi. 1998. Toward information extraction: Identifying protein names from biological papers. In the Pacific Symposium on Biocomput-ing, pages 707–718.
8. Sittichai Jiampojamarn, Nick Cercone, and Vlado Kešelj. 2005a. Automatic Biological Term Annotation Using N-gram and Classification Models. Master’s thesis, Faculty of Comp.Sci., Dalhousie University.
9. Sittichai Jiampojamarn, Nick Cercone, and Vlado Kešelj. 2005b. Biological Named Entity Recognition using N-grams and Classification Methods. In Conf. of the Pacific Assoc. for Computational Linguistics, PACLING’05, Tokyo, Japan.
10. Ki-Joong Lee, Young-Sook Hwang, and Hae-Chang Rim. 2003. Two-phase biomedical NE recognition based on SVMs. In Proc. of the ACL 2003 workshop on Natural language processing in biomedicine, pages 33–40, Morristown, NJ, USA. ACL.
11. Donald R. Morrison. 1968. Patricia - Practical Algorithm To Retrieve Information Coded in Alphanumeric. Journal of the ACM, 15(4):514–534.
12. Goran Nenadic and Sophia Ananiadou. 2006. Mining semantically related terms from biomedical literature. ACM Transactions on Asian Language Information Processing (TALIP), 5(1):22 – 43.
13. Burr Settles. 2004. Biomedical named entity recognition using conditional random fields and novel feature sets. In Joint wsh. on NLP in Biomedicine and its Applications (JNLPBA-2004).
14. Dan Shen, Jie Zhang, Guodong Zhou, Jian Su, and Chew-Lim Tan. 2003. Effective adaptation of a Hidden Markov Model-based named entity recognizer for biomedical domain. In Proc. of the ACL 2003 wsh. on NLP in Biomedicine, pages 49–56, Morristown, NJ, USA.
15. Catherine Soanes and Angus Stevenson. 2004. Oxford Dictionary of English. Oxford University Press.