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» Automatic Discovery of Feature Sets for Dependency Parsing
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COLING
2010
14 years 4 months ago
Informed ways of improving data-driven dependency parsing for German
We investigate a series of targeted modifications to a data-driven dependency parser of German and show that these can be highly effective even for a relatively well studied langu...
Wolfgang Seeker, Bernd Bohnet, Lilja Øvreli...
ICPR
2010
IEEE
14 years 7 months ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird
83
Voted
ACL
2006
14 years 11 months ago
A Comparison of Alternative Parse Tree Paths for Labeling Semantic Roles
The integration of sophisticated inference-based techniques into natural language processing applications first requires a reliable method of encoding the predicate-argument struc...
Reid Swanson, Andrew S. Gordon
NAACL
2010
14 years 7 months ago
An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing
We present a novel deterministic dependency parsing algorithm that attempts to create the easiest arcs in the dependency structure first in a non-directional manner. Traditional d...
Yoav Goldberg, Michael Elhadad
WEBDB
2009
Springer
115views Database» more  WEBDB 2009»
15 years 4 months ago
A Machine Learning Approach to Foreign Key Discovery
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...
Alexandra Rostin, Oliver Albrecht, Jana Bauckmann,...