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» Domain Adaptation for Statistical Classifiers
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EMNLP
2007
13 years 10 months ago
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
We present a data-driven variant of the LR algorithm for dependency parsing, and extend it with a best-first search for probabilistic generalized LR dependency parsing. Parser act...
Kenji Sagae, Jun-ichi Tsujii
INTERSPEECH
2010
13 years 3 months ago
Domain adaptation and compensation for emotion detection
Inspired by the recent improvements in domain adaptation and session variability compensation techniques used for speech and speaker processing, we study their effect for emotion ...
Michelle Hewlett Sanchez, Gökhan Tür, Lu...
NAACL
2010
13 years 6 months ago
Automatic Domain Adaptation for Parsing
Current statistical parsers tend to perform well only on their training domain and nearby genres. While strong performance on a few related domains is sufficient for many situatio...
David McClosky, Eugene Charniak, Mark Johnson
TMI
2002
248views more  TMI 2002»
13 years 8 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
GBRPR
2007
Springer
14 years 13 days ago
Generalized vs Set Median Strings for Histogram-Based Distances: Algorithms and Classification Results in the Image Domain
We compare different statistical characterizations of a set of strings, for three different histogram-based distances. Given a distance, a set of strings may be characterized by it...
Christine Solnon, Jean-Michel Jolion