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» Automatic Discovery of Feature Sets for Dependency Parsing
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SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
15 years 9 months ago
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...
EMNLP
2007
14 years 11 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson
EMNLP
2007
14 years 11 months ago
The CoNLL 2007 Shared Task on Dependency Parsing
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in...
Joakim Nivre, Johan Hall, Sandra Kübler, Ryan...
ECCV
2008
Springer
15 years 11 months ago
Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
John Novatnack, Ko Nishino
ICIP
2009
IEEE
14 years 7 months ago
Automatic discovery of image families: Global vs. local features
Gathering a large collection of images has been made quite easy by social and image sharing websites, e.g. flickr.com. However, using such collections faces the problem that they ...
Mohamed Aly, Peter Welinder, Mario E. Munich, Piet...