@inproceedings{SeymoreEtAl:99,
	title = {Learning Hidden {M}arkov Model Structure for Information Extraction},
	author = {Kristie Seymore and Andrew McCallum and Roni Rosenfeld},
	booktitle = {AAAI'99 Workshop on Machine Learning for Information Extraction},
	year = {1999},
	biburl = {http://www.bibsonomy.org/bibtex/2572bd59720a996954e184e11e9dae934/brefeld},
	keywords = {imported }
}

@inproceedings{Sey97,
	title = {Using Story Topics for Language Model Adaptation},
	author = {Kristie Seymore and Ronald Rosenfeld},
	booktitle = {EUROSPEECH-97},
	pages = {1987--1990},
	year = {1997},
	biburl = {http://www.bibsonomy.org/bibtex/2443d6eff89f7c6c37844fd8bda99eb9d/nlp},
	keywords = {2000 book nlp }
}

@inproceedings{Sey98,
	title = {Nonlinear interpolation of topic models for language model
  adaptation},
	address = {Sydney},
	author = {Kristie Seymore and Stanley Chen and Ronald Rosenfeld},
	booktitle = {ICSLP-98},
	pages = {2503},
	volume = {6},
	year = {1998},
	biburl = {http://www.bibsonomy.org/bibtex/2c1f3f44a92eb92f218dbfb77ac7453fe/nlp},
	keywords = {2000 book nlp }
}

@inproceedings{Chen98,
	title = {Topic adaptation for language modeling using unnormalized
  exponential models},
	author = {Stanley F. Chen and Kristie Seymore and Ronald Rosenfeld},
	booktitle = {IEEE ICASSP-98},
	organization = {IEEE},
	pages = {681--684},
	year = {1998},
	biburl = {http://www.bibsonomy.org/bibtex/25eb6433ccb180745862ec51ca957bd86/nlp},
	keywords = {2000 book nlp }
}

@inproceedings{mccallum1,
	title = {A Machine Learning Approach to Building Domain-Specific Search Engines},
	author = {Andrew McCallum and Kamal Nigam and Jason Rennie and Kristie Seymore},
	booktitle = {IJCAI-99},
	year = {1999},
	biburl = {http://www.bibsonomy.org/bibtex/2e0cc1d201cd8c4eb655f90d2203c7586/bsmyth},
	description = {all-bibs-cleaned.bib},
	keywords = {imported }
}

@article{mccallum00internetportals,
	title = {Automating the Construction of Internet Portals with Machine Learning},
	author = {Andrew McCallum and Kamal Nigam and Jason Rennie and Kristie Seymore},
	journal = {Information Retrieval Journal},
	note = {www.research.whizbang.com/data},
	pages = {127--163},
	publisher = {Kluwer},
	volume = {3},
	year = {2000},
	biburl = {http://www.bibsonomy.org/bibtex/2ba39c5f9e885db81abbb2ef385ae74c3/philipp},
	keywords = {imported }
}

@article{mccallum00automating,
	title = {Automating the Construction of Internet Portals with Machine Learning},
	address = {Hingham, MA, USA},
	author = {Andrew Kachites McCallum and Kamal Nigam and Jason Rennie and Kristie Seymore},
	journal = {Information Retrieval},
	number = {2},
	pages = {127--163},
	publisher = {Kluwer Academic Publishers},
	volume = {3},
	year = {2000},
	biburl = {http://www.bibsonomy.org/bibtex/22ce4f76d5c3842fd23b35812092570d4/sb3000},
	description = {Automating the Construction of Internet Portals with Machine Learning},
	issn = {1386-4564}, doi = {http://dx.doi.org/10.1023/A:1009953814988},
	keywords = {dataset ir ml }
}

@inproceedings{mccallum99building,
	title = {Building domain-specific search engines with machine learning techniques},
	author = {Andrew McCallum and Kamal Nigam and Jason Rennie and Kristie Seymore},
	booktitle = {Proc. {AAAI}-99 Spring Symposium on Intelligent Agents in Cyberspace, 1999.},
	url = {http://www.cs.cmu.edu/~mccallum/papers/cora-aaaiss99.ps.gz},
	year = {1999},
	biburl = {http://www.bibsonomy.org/bibtex/2afb4fcb663c04388860e64504d854107/thomas},
	description = {Building Domain-Specific Search Engines with Machine Learning Techniques - McCallum, Nigam, Rennie, Seymore (ResearchIndex)},
	keywords = {cora diplomarbeit engine learning machine search uni used }
}

@inproceedings{citeulike:816106,
	title = {Learning Hidden Markov Model Structure for Information Extraction},
	author = {Kristie Seymore and Andrew Mccallum and Roni Rosenfeld},
	booktitle = {AAAI 99 Workshop on Machine Learning for Information Extraction},
	url = {http://citeseer.ist.psu.edu/seymore99learning.html},
	year = {1999},
	biburl = {http://www.bibsonomy.org/bibtex/25a648231283bc148d984d32fc9ac2af7/gridinoc},
	abstract = {Statistical machine learning techniques, while well
proven in fields such as speech recognition, are just
beginning to be applied to the information extraction
domain. We explore the use of hidden Markov models
for information extraction tasks, specifically focusing
on how to learn model structure from data and how
to make the best use of labeled and unlabeled data.
We show that a manually-constructed model that contains
multiple states per extraction field outperforms a
model with one state...},
	priority = {2}, citeulike-article-id = {816106},
	keywords = {no-tag }
}

@inproceedings{seymore99learning,
	title = {Learning Hidden {Markov} Model Structure for Information Extraction},
	author = {Kristie Seymore and Andrew McCallum and Roni Rosenfeld},
	booktitle = {{AAAI} 99 Workshop on Machine Learning for Information Extraction},
	url = {citeseer.ist.psu.edu/seymore99learning.html},
	year = {1999},
	biburl = {http://www.bibsonomy.org/bibtex/26a410fa8b67850d357d4ea5c240049d9/thomas},
	description = {Learning Hidden Markov Model Structure for Information Extraction - Seymore, McCallum, Rosenfeld (ResearchIndex)},
	keywords = {diplomarbeit hidden ie learning machine markov model uni }
}