Experiments in Telugu NER: A conditional random field approach

IJCNLP 2008 Workshop on NER for South and South East Asian Languages, Proceedings of the Workshop

Volumn , Issue , 2008, Pages 105-110

  Shishtla, Praneeth M ^a   Gali, Karthik ^a   Pingali, Prasad ^a   Varma, Vasudeva ^a  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS;

FEATURE COMBINATION; LANGUAGE INDEPENDENTS; NAMED ENTITY RECOGNITION; PERFORMANCE; PREDEFINED SETS; TEXT DOCUMENT; TRAINING DATA;

CHARACTER RECOGNITION;

EID: 84899390437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Bogdan Babych and Anthony Hartley. 2003. Improving machine translation quality with automatic named entity recognition. In Proceedings of Seventh International EAMT Workshop on MT and other language technology tools, Budapest, Hungary.
2. Daniel M. Bikel, Scott Miller, Richard Schwartz, and Ralph Weischedel. 1997. Nymble: a high-performance learning name-finder. In Proceedings of the fifth conference on Applied natural language processing, pages 194–201, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
3. Nancy Chinchor. 1997. Muc-7 named entity task definition. Technical Report Version 3.5, Science Applications International Corporation, Fairfax, Virginia.
4. Dan Klein, Joseph Smarr, Huy Nguyen, and Christopher D. Manning. 2003. Named entity recognition with character-level models. In Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003, pages 180–183, Morristown, NJ, USA. Association for Computational Linguistics.
5. John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. 18th International Conf. on Machine Learning, pages 282–289. Morgan Kaufmann, San Francisco, CA.
6. Andrei Mikheev. 1997. Automatic rule induction for unknown-word guessing. Comput. Linguist., 23(3):405–423.
7. Diego Molla, Menno van Zaanen, and Daniel Smith. 2006. Named entity recognition for question answering. In Proceedings of Australasian Language Technology Workshop 2006, Sydney, Australia.
8. Avinesh PVS and Karthik G. 2007. Part-of-speech tagging and chunking using conditional random fields and transformation based learning. In In Proceedings of SPSAL-2007 Workshop.
9. Lance Ramshaw and Mitch Marcus. 1995. Text chunking using transformation-based learning. In David Yarovsky and Kenneth Church, editors, Proceedings of the Third Workshop on Very Large Corpora, pages 82–94, Somerset, New Jersey. Association for Computational Linguistics.
10. Antonio Toral, Elisa Noguera, Fernando Llopis, and Rafael Muñoz. 2005. Improving question answering using named entity recognition. In Proceedings of the 10th NLDB congress, Lecture notes in Computer Science, Alicante, Spain. Springer-Verlag.
11. Richard Tzong-Han Tsai. 2006. A hybrid approach to biomedical named entity recognition and semantic role labeling. In Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, pages 243–246, Morristown, NJ, USA. Association for Computational Linguistics.
12. Nina Wacholder, Yael Ravin, and Misook Choi. 1997. Disambiguation of proper names in text. In Proceedings of the fifth conference on Applied natural language processing, pages 202–208, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
13. Hanna M. Wallach. 2004. Conditional random fields: An introduction. Technical Report MS-CIS-04-21, University of Pennsylvania, Department of Computer and Information Science, University of Pennsylvania.