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LREC
2010
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13 years 6 months ago
Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy
We investigate a number of approaches to generating Stanford Dependencies, a widely used semantically-oriented dependency representation. We examine algorithms specifically design...
Daniel Cer, Marie-Catherine de Marneffe, Daniel Ju...
EMNLP
2007
13 years 6 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
COLING
2010
12 years 11 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...
COLING
2010
12 years 11 months ago
2D Trie for Fast Parsing
In practical applications, decoding speed is very important. Modern structured learning technique adopts template based method to extract millions of features. Complicated templat...
Xian Qian, Qi Zhang, Xuanjing Huang, Lide Wu