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EMNLP
2009
9 years 9 days ago
An Alternative to Head-Driven Approaches for Parsing a (Relatively) Free Word-Order Language
Applying statistical parsers developed for English to languages with freer wordorder has turned out to be harder than expected. This paper investigates the adequacy of different s...
Reut Tsarfaty, Khalil Sima'an, Remko Scha
EACL
2003
ACL Anthology
9 years 3 months ago
Bootstrapping statistical parsers from small datasets
We present a practical co-training method for bootstrapping statistical parsers using a small amount of manually parsed training material and a much larger pool of raw sentences. ...
Mark Steedman, Anoop Sarkar, Miles Osborne, Rebecc...
ACL
2006
9 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
ACL
2006
9 years 3 months ago
Evaluating the Accuracy of an Unlexicalized Statistical Parser on the PARC DepBank
We evaluate the accuracy of an unlexicalized statistical parser, trained on 4K treebanked sentences from balanced data and tested on the PARC DepBank. We demonstrate that a parser...
Ted Briscoe, John Carroll
NAACL
2007
9 years 3 months ago
RH: A Retro-Hybrid Parser
Contemporary parser research is, to a large extent, focused on statistical parsers and deep-unification-based parsers. This paper describes an alternative, hybrid architecture in ...
Paula Newman
LREC
2008
113views Education» more  LREC 2008»
9 years 4 months ago
Subdomain Sensitive Statistical Parsing using Raw Corpora
Modern statistical parsers are trained on large annotated corpora (treebanks). These treebanks usually consist of sentences addressing different subdomains (e.g. sports, politics,...
Barbara Plank, Khalil Sima'an
EMNLP
2007
9 years 4 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
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