Natural language parsing as statistical pattern recognition
Natural language parsing as statistical pattern recognition
An algorithm for pronominal anaphora resolution
Computational Linguistics
WordNet: a lexical database for English
Communications of the ACM
Bracketing Compound Nouns for Logic Form Derivation
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Information extraction from biomedical text
Journal of Biomedical Informatics - Special issue: Sublanguage
High Precision Logic Form Transformation
ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
Using the web to obtain frequencies for unseen bigrams
Computational Linguistics - Special issue on web as corpus
Building a large annotated corpus of English: the penn treebank
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
A new statistical parser based on bigram lexical dependencies
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
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
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
Using large monolingual and bilingual corpora to improve coordination disambiguation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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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 issue that is not handled by current state-of-the-art syntactic parsers. In this paper we present research that investigates the base Noun Phrase parsing problem. We develop a base Noun Phrase parser based on several statistical models that provide promising results on a test set of 538 base Noun Phrases. The parameters of the models are estimated from the web in the form of web counts. This makes our method unsupervised with no training data being needed.