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COLING
2008
15 years 6 months ago
Learning Reliable Information for Dependency Parsing Adaptation
In this paper, we focus on the adaptation problem that has a large labeled data in the source domain and a large but unlabeled data in the target domain. Our aim is to learn relia...
Wenliang Chen, Youzheng Wu, Hitoshi Isahara
NAACL
2010
15 years 3 months ago
Ensemble Models for Dependency Parsing: Cheap and Good?
Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...
Mihai Surdeanu, Christopher D. Manning
EACL
2009
ACL Anthology
16 years 6 months ago
Parsing Mildly Non-Projective Dependency Structures
We present novel parsing algorithms for several sets of mildly non-projective dependency structures. First, we define a parser for well-nested structures of gap degree at most 1, ...
Carlos Gómez-Rodríguez, David J. Wei...
COLING
2002
15 years 5 months ago
Creating a Finite-State Parser with Application Semantics
Parsli is a finite-state (FS) parser which can be tailored to the lexicon, syntax, and semantics of a particular application using a hand-editable declarative lexicon. The lexicon...
Owen Rambow, Srinivas Bangalore, Tahir Butt, Alexi...
ACL
2007
15 years 6 months ago
Generalizing Tree Transformations for Inductive Dependency Parsing
Previous studies in data-driven dependency parsing have shown that tree transformations can improve parsing accuracy for specific parsers and data sets. We investigate to what ex...
Jens Nilsson, Joakim Nivre, Johan Hall