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ACL
2010
13 years 7 months ago
Efficient Third-Order Dependency Parsers
We present algorithms for higher-order dependency parsing that are "third-order" in the sense that they can evaluate substructures containing three dependencies, and &qu...
Terry Koo, Michael Collins
ACTAC
2006
126views more  ACTAC 2006»
13 years 9 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
ACL
2006
13 years 11 months ago
Annotation Schemes and their Influence on Parsing Results
Most of the work on treebank-based statistical parsing exclusively uses the WallStreet-Journal part of the Penn treebank for evaluation purposes. Due to the presence of this quasi...
Wolfgang Maier
COLING
2000
13 years 11 months ago
Automatic Extraction of Subcategorization Frames for Czech
We present some novel machine learning techniques for the identification of subcategorization information for verbs in Czech. We compare three different statistical techniques app...
Anoop Sarkar, Daniel Zeman