Adwait Ratnaparkhi. Maximum Entropy Models for Natural Language Ambiguity Resolution. Ph.D. Dissertation. University of Pennsylvania. 1998

Adwait Ratnaparkhi. Unsupervised Statistical Models for Prepositional Phrase Attachment. In Proceedings of the Seventeenth International Conference on Computational Linguistics, Aug. 10-14, 1998. Montreal,  Canada.

Adwait Ratnaparkhi. A Linear Observed Time Statistical Parser Based on Maximum Entropy Models In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing. Aug. 1-2, 1997. Brown University, Providence, Rhode Island.

Adwait Ratnaparkhi. A Simple Introduction to Maximum Entropy Models for Natural Language Processing. Technical Report 97-08, Institute for Research in Cognitive Science, University of Pennsylvania.

Jeffrey C. Reynar and Adwait Ratnaparkhi. A Maximum Entropy Approach to Identifying Sentence Boundaries. In Proceedings of the Fifth Conference on Applied Natural Language Processing, March 31-April 3, 1997. Washington, D.C.

Adwait Ratnaparkhi. A Maximum Entropy Part-Of-Speech Tagger. In Proceedings of the Empirical Methods in Natural Language Processing Conference, May 17-18, 1996. University of Pennsylvania

Adwait Ratnaparkhi, Jeff Reynar, and Salim Roukos. A Maximum Entropy Model for Prepositional Phrase Attachment. In Proceedings of the ARPA Human Language Technology Workshop, 1994, pages 250-255.  Here is  the training, development, and test data used for the experiments.

Adwait Ratnaparkhi, Salim Roukos, and R. Todd Ward. A Maximum Entropy Model for Parsing. In Proceedings of the International Conference on Spoken Language Processing, pages 803-806. September, 1994. Yokohama, Japan.

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