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EMNLP
2008
15 years 2 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
15 years 2 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
14 years 11 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»
15 years 1 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
14 years 11 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