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» Parsing the LOB Corpus
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106
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ANLP
2000
111views more  ANLP 2000»
15 years 3 months ago
Bagging and Boosting a Treebank Parser
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...
John C. Henderson, Eric Brill
AAAI
1994
15 years 3 months ago
Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach
or untagged treebanks. ' When trained on an untagged This paper presents a method for constructing deterministic Prolog parsers from corpora of parsed sentences. Our approach ...
John M. Zelle, Raymond J. Mooney
ACL
2006
15 years 3 months ago
A Best-First Probabilistic Shift-Reduce Parser
Recently proposed deterministic classifierbased parsers (Nivre and Scholz, 2004; Sagae and Lavie, 2005; Yamada and Matsumoto, 2003) offer attractive alternatives to generative sta...
Kenji Sagae, Alon Lavie
104
Voted
NAACL
2003
15 years 3 months ago
Supervised and unsupervised PCFG adaptation to novel domains
This paper investigates adapting a lexicalized probabilistic context-free grammar (PCFG) to a novel domain, using maximum a posteriori (MAP) estimation. The MAP framework is gener...
Brian Roark, Michiel Bacchiani
LREC
2008
109views Education» more  LREC 2008»
15 years 3 months ago
The Metadata-Database of a Next Generation Sustainability Web-Platform for Language Resources
Our goal is to provide a web-based platform for the long-term preservation and distribution of a heterogeneous collection of linguistic resources. We discuss the corpus preprocess...
Georg Rehm, Oliver Schonefeld, Andreas Witt, Timm ...