Maximum Entropy Models for FrameNet Classification

Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, EMNLP 2003

Volumn , Issue , 2003, Pages 49-56

  Fleischman, Michael ^a   Kwon, Namhee ^a   Hovy, Eduard ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM ENTROPY METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS;

FRAMENET; HIGH PROBABILITY; LARGE DATABASE; MAXIMUM ENTROPY MODELS; MAXIMUM-ENTROPY APPROACHES; PATTERN FEATURES; PERFORMANCE; SEMANTIC TAGGING; SENTENCE LEVEL; SYNTACTIC PATTERNS;

SEMANTICS;

EID: 84979537359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1119355.1119362     Document Type: Conference Paper

References (9)

1. O. Bender, K. Macherey, F. J. Och, and H. Ney. 2003. Comparison of Alignment Templates and Maximum Entropy Models for Natural Language Processing. Proc. of EACL-2003. Budapest, Hungary.
2. A. Berger, S. Della Pietra and V. Della Pietra, 1996. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics, vol. 22, no. 1.
3. S. F. Chen and R. Rosenfeld. 1999. A Gaussian prior for smoothing maximum entropy models. Technical Report CMUCS -99-108, Carnegie Mellon University
4. th Annual Meeting of the ACL. pages 16-23, Madrid, Spain.
5. J. N. Darroch and D. Ratcliff. 1972. Generalized iterative scaling for log-linear models. Annals of Mathematical Statistics, 43:1470-1480.
6. C. Fillmore 1976. Frame semantics and the nature of language. Annals of the New York Academy of Sciences: Conference on the Origin and Development of Language and Speech, Volume 280 (pp. 20-32).
7. D. Gildea and D. Jurafsky. 2002. Automatic Labeling of Semantic Roles, Computational Linguistics, 28(3) 245-288 14.
8. T. Mitchell. 1997. Machine Learning. McGrawHill International Editions, New York, NY. Pages 143-145.
9. F.J. Och. 2002. Yet another maxent toolkit: YASMET. www-i6.informatik.rwthaachen.de/Colleagues/och/.