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EMNLP
2007
13 years 8 months ago
Structural Correspondence Learning for Dependency Parsing
Following (Blitzer et al., 2006), we present an application of structural correspondence learning to non-projective dependency parsing (McDonald et al., 2005). To induce the corre...
Nobuyuki Shimizu, Hiroshi Nakagawa
BMCBI
2006
128views more  BMCBI 2006»
13 years 7 months ago
Lexical adaptation of link grammar to the biomedical sublanguage: a comparative evaluation of three approaches
Background: We study the adaptation of Link Grammar Parser to the biomedical sublanguage with a focus on domain terms not found in a general parser lexicon. Using two biomedical c...
Sampo Pyysalo, Tapio Salakoski, Sophie Aubin, Adel...
LREC
2010
123views Education» more  LREC 2010»
13 years 8 months ago
Towards Semi-Automated Annotation for Prepositional Phrase Attachment
This paper investigates whether high-quality annotations for tasks involving semantic disambiguation can be obtained without a major investment in time or expense. We examine the ...
Sara Rosenthal, William Lipovsky, Kathleen McKeown...
ACL
2006
13 years 8 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
ISDA
2010
IEEE
13 years 5 months ago
Improving statistical parsing by linguistic regularization
Statistically-based parsers for large corpora, in particular the Penn Tree Bank (PTB), typically have not used all the linguistic information encoded in the annotated trees on whic...
Igor Malioutov, Robert C. Berwick