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» Parsing the LOB Corpus
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ANLP
2000
111views more  ANLP 2000»
13 years 10 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
13 years 10 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
13 years 10 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
NAACL
2003
13 years 10 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»
13 years 10 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 ...