An algorithm for pronominal anaphora resolution
Computational Linguistics
WordNet: a lexical database for English
Communications of the ACM
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Information extraction from biomedical text
Journal of Biomedical Informatics - Special issue: Sublanguage
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ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
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Computational Linguistics - Special issue on web as corpus
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Computational Linguistics - Special issue on using large corpora: II
Noun phrase recognition by system combination
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
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ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Base Noun Phrase translation using web data and the EM algorithm
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Loosely tree-based alignment for machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Incorporating compositional evidence in memory-based partial parsing
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Search engine statistics beyond the n-gram: application to noun compound bracketing
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Statistical parsing with a context-free grammar and word statistics
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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Syntactic parsing is an important processing step for various language processing applications including Information Extraction, Question Answering, and Machine Translation. Parsing base Noun Phrases is one particular parsing case that has not been addressed so far in the literature. In this paper we present a semester-long research project that aimed at investigating the base Noun Phrase parsing problem and efficiently implementing a base Noun Phrase parser based on a statistical model and web counts. Using web counts, instead of manually annotated data, to induce the parameters of the statistical model makes our method unsupervised. Although, this was a project for a graduate independent study class we plan to use it as a team project for an undergraduate class.