A Lexically-Intensive Algorithm for Domain-Specific Knowlegde Acquisition

Proceedings of the Joint Conference on New Methods in Language Processing and Computational Natural Language Learning, NeMLaP/CoNLL 1998

Volumn , Issue , 1998, Pages 19-28

  Schneider, René ^a  

^a DAIMLER AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

CONVENTIONAL SYSTEMS; DOMAIN SPECIFIC; INFORMATION EXTRACTION SYSTEMS; LEMMATIZATION; REGULAR EXPRESSIONS; STATISTICAL LEARNING; TRANSMISSION ERROR;

KNOWLEDGE BASED SYSTEMS;

EID: 27344433653     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Steven Abney. 1996. Statistical methods and linguistics. In Klavans, J.L. and Resnik, P., editors, The Balancing Act: Combining Symbolic and Statistical Approaches to Language, pages 1-26. MIT Press, Cambridge, MA.
2. Thomas Bayer, Uli Bohnacker and Ingrid Renz. 1997. Information extraction from paper documents. In Bunke, H. and Wang, P.S.P., editors, Handbook on Optical Character Recognition and Document Image Analysis, pages 653-677. World Scientific Publishing Company, Singapore.
3. Eugene Charniak. 1993. Statistical Language Learning. MIT Press, Cambridge, MA.
4. Kenneth W. Church and Patrick Hanks. 1990. Word association norms, mutual information and lexicography. Computational Linguistics, 16(3):22-29.
5. John R. Firth. 1957. Modes of meaning. In J.R. Firth: Papers in Linguistics, pages 190-215,Lon-don. Oxford University Press.
6. W. Nelson Francis and Henry Kucera. 1982. Frequency Analysis of English Usage. Houghton Mifflin, Boston, MA.
7. Gregory Grefenstette. 1996. Light parsing as finite-state filtering. In Proceedings of the Workshop on Extended Finite State Models of Language, ECAI'96, Budapest, Hungary.
8. Ralph Grishman. 1996. The NYU system for MUC-6 or where's the syntax? In Proceedings of the Sixth Message Understanding Conference (MUC-6), Columbia, MD. Morgan Kaufraann.
9. Zellig S. Harris. 1982. Discourse and sublanguage. In Kittredge, R. and Lehrberger, J., editors, Sublanguage: Studies of Language in Restricted Semantic Domains, pages 231-236. de Gruyter, Berlin.
10. John Nerbonne, Wilbert Heeringa, Erik van den Hout, Peter van der Kooi, Simone Otten and Willem van de Vis. 1996. Phonetic distance between dutch dialects. In Durieux, G., Daelemans, W., and GiUis, S.,-editors, Proceedings of Computational Linguistics in the Netherlands, pages 185-202, Antwerp, Centre for Dutch Language and Speech (UIA).
11. Maria Teresa Pazienza. 1997. Information Extraction - A Multidisciplinary Approach to an Emerging Information Technology. Springer, Berlin.
12. Ellen Riloff. 1993. Automatically constructing a dictionary for information extraction tasks. In Proceedings of the 11th National Conference on Artificial Intelligence, AAAI-93, pages 811-816.
13. Kazem Taghva, Julie Borsack, Allen Condit and Srinivas Erva. 1994. The effects of noisy data on text retrieval. Journal of the American Society for Information Science, 45(1):50-58.
14. Michael G. Thomason. 1986. Syntactic pattern recognition: Stochastic languages. In Fu, K.S. and Young, T.Y., editors, Handbook of Pattern Recognition and Image Processing, pages 119-142. Academic Press, Orlando, FL.
15. Vladimir N. Vapnik. 1995. The Nature of Statistical Learning Theory. Springer, New York.
16. Roman Yangarber and Ralph Grishman. 1997. Customization of information extraction system. In Proceedings of the International Workshop on Lexically Driven Information Extraction. Universita di Roma "La Sapienza'.