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EMNLP
2008
13 years 11 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu
COLING
2000
13 years 11 months ago
Robust German Noun Chunking With a Probabilistic Context-Free Grammar
We present a noun chunker for German which is based on a head-lexicalised probabilistic contextfl'ee grammar. A manually developed grammar was semi-automatically extended wit...
Helmut Schmid, Sabine Schulte im Walde
ACL
2010
13 years 8 months ago
A Probabilistic Generative Model for an Intermediate Constituency-Dependency Representation
We present a probabilistic model extension to the Tesni`ere Dependency Structure (TDS) framework formulated in (Sangati and Mazza, 2009). This representation incorporates aspects ...
Federico Sangati
JOLLI
2006
101views more  JOLLI 2006»
13 years 9 months ago
A Note on the Expressive Power of Probabilistic Context Free Grammars
We examine the expressive power of probabilistic context free grammars (PCFGs), with a special focus on the use of probabilities as a mechanism for reducing ambiguity by filtering ...
Gabriel G. Infante López, Maarten de Rijke
ICTIR
2009
Springer
13 years 7 months ago
Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models
Abstract. A mismatch between differenteventspaceshasbeen used toargue against rank equivalence of classic probabilistic models of information retrieval and language models. We ques...
Corrado Boscarino, Arjen P. de Vries