@misc{citeulike:1610577,
	title = {Maximum Entropy Models for Natural Language Ambiguity Resolution},
	author = {A. Ratnaparkhi},
	url = {http://citeseer.ist.psu.edu/ratnaparkhi98maximum.html},
	year = {1998},
	biburl = {http://www.bibsonomy.org/bibtex/27667cd23a99558f0c402351c88b8e67d/pprett},
	abstract = {This thesis demonstrates that several important kinds of natural language ambiguities can be resolved to state-of-the-art accuracies using a single statistical modeling technique based on the principle of maximum entropy. We discuss the problems of sentence boundary detection, part-of-speech tagging, prepositional phrase attachment, natural language parsing, and text categorization under the maximum entropy framework. In practice, we have found that maximum entropy models offer the following...},
	posted-at = {2008-05-13 16:13:37}, priority = {1}, citeulike-article-id = {1610577},
	keywords = {maxent, pos }
}

@inproceedings{RatRey94,
	title = {A {Maximum} {Entropy} Model for Prepositional Phrase Attachment},
	address = {Plainsboro, N.J.},
	author = {Adwait Ratnaparkhi and Jeff Reynar and Salim Roukos},
	booktitle = {ARPA Human Language Technologies Workshop},
	pages = {250--255},
	year = {1994},
	biburl = {http://www.bibsonomy.org/bibtex/22f1a3407f8a1e1504dd0ef1b9f22a6ff/nlp},
	keywords = {2000 book nlp }
}

@inproceedings{Rat97,
	title = {A Linear Observed Time Statistical Parser Based on Maximum Entropy
  Models},
	address = {Providence, Rhode Island},
	author = {Adwait Ratnaparkhi},
	booktitle = {Proceedings of the Second Conference on Empirical Methods in
  Natural Language Processing},
	organization = {ACL},
	pages = {1--10},
	year = {1997},
	biburl = {http://www.bibsonomy.org/bibtex/21e04b605f079c471d9f7dd80a351248b/nlp},
	keywords = {2000 book nlp }
}

@inproceedings{Rat96,
	title = {A Maximum Entropy Part-Of-Speech Tagger},
	address = {University of Pennsylvania},
	author = {Adwait Ratnaparkhi},
	booktitle = {Proceedings of the Conference on Empirical Methods in Natural
  Language Processing},
	month = {May},
	organization = {ACL},
	pages = {133--142},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/2980bb6f821ccea8c89f5e84b834b68bb/nlp},
	keywords = {2000 book nlp }
}

@inproceedings{Jelineketal94,
	title = {Decision Tree Parsing using a Hidden Derivation Model},
	address = {Plainsboro, N.J.},
	author = {Fred Jelinek and John D. Lafferty and David M. Magerman and Robert L. Mercer and Adwait Ratnaparkhi and Salim Roukos},
	booktitle = {ARPA Human Language Technologies Workshop},
	month = {March},
	pages = {272--277},
	publisher = {Morgan Kaufmann},
	year = {1994},
	biburl = {http://www.bibsonomy.org/bibtex/225d32b58467b6f43359c78f9bfc46bdc/nlp},
	keywords = {2000 book nlp }
}

@techreport{citeulike:771872,
	title = {A simple introduction to maximum entropy models for natural language processing},
	author = {A. Ratnaparkhi},
	institution = {nstitute for Research in Cognitive Science, University of Pennsylvania},
	url = {http://citeseer.ist.psu.edu/128751.html},
	year = {1997},
	biburl = {http://www.bibsonomy.org/bibtex/261d3b2424b33e970c306318df9f1ccb6/brightbyte},
	description = {stuff from citeyoulike},
	abstract = {Many problems in natural language processing can be viewed as linguistic classification problems, in which linguistic contexts are used to predict linguistic classes. Maximum entropy models offer a clean way to combine diverse pieces of contextual evidence in order to estimate the probability of a certain linguistic class occurring with a certain linguistic context. This report demonstrates the use of a particular maximum entropy model on an example problem, and then proves some relevant...},
	priority = {2}, citeulike-article-id = {2162753},
	keywords = {nlp statistics }
}

@article{journals/corr/cs-CL-0106047,
	title = {Modeling informational novelty in a conversational system with a hybrid statistical and grammar-based approach to natural language generation},
	author = {Adwait Ratnaparkhi},
	journal = {CoRR},
	note = {informal publication},
	url = {http://dblp.uni-trier.de/db/journals/corr/corr0106.html#cs-CL-0106047},
	volume = {cs.CL/0106047},
	year = {2001},
	biburl = {http://www.bibsonomy.org/bibtex/2998d38c8e1d7e07d24ab2c529ffdffaf/dblp},
	description = {dblp},
	ee = {http://arxiv.org/abs/cs.CL/0106047}, date = {2008-01-02},
	keywords = {dblp }
}

@article{journals/corr/cs-CL-0006028,
	title = {Trainable Methods for Surface Natural Language Generation},
	author = {Adwait Ratnaparkhi},
	journal = {CoRR},
	note = {informal publication},
	url = {http://dblp.uni-trier.de/db/journals/corr/corr0006.html#cs-CL-0006028},
	volume = {cs.CL/0006028},
	year = {2000},
	biburl = {http://www.bibsonomy.org/bibtex/2392d7e35c704f854eb6d7192a5dd7c09/dblp},
	description = {dblp},
	ee = {http://arxiv.org/abs/cs.CL/0006028}, date = {2008-01-02},
	keywords = {dblp }
}

@article{journals/corr/cmp-lg-9807011,
	title = {Statistical Models for Unsupervised Prepositional Phrase Attachment},
	author = {Adwait Ratnaparkhi},
	journal = {CoRR},
	note = {informal publication},
	url = {http://dblp.uni-trier.de/db/journals/corr/corr9807.html#cmp-lg-9807011},
	volume = {cmp-lg/9807011},
	year = {1998},
	biburl = {http://www.bibsonomy.org/bibtex/27daebc4e325537278dc52b267641a240/dblp},
	description = {dblp},
	ee = {http://arxiv.org/abs/cmp-lg/9807011}, date = {2008-01-02},
	keywords = {dblp }
}

@article{journals/corr/cmp-lg-9706014,
	title = {A Linear Observed Time Statistical Parser Based on Maximum Entropy Models},
	author = {Adwait Ratnaparkhi},
	journal = {CoRR},
	note = {informal publication},
	url = {http://dblp.uni-trier.de/db/journals/corr/corr9706.html#cmp-lg-9706014},
	volume = {cmp-lg/9706014},
	year = {1997},
	biburl = {http://www.bibsonomy.org/bibtex/23f1212b7c70c701bb1daec26b7be77eb/dblp},
	description = {dblp},
	ee = {http://arxiv.org/abs/cmp-lg/9706014}, date = {2008-01-02},
	keywords = {dblp }
}