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IWPT'09 - 11th International Conference on Parsing Technologies, Paris : France (2009)
Constructing parse forests that include exactly the n-best PCFG trees
Pierre Boullier 1, Alexis Nasr 2, Benoît Sagot 1
(2009)

This paper describes and compares two algorithms that take as input a shared PCFG parse forest and produce shared forests that contain exactly the n most likely trees of the initial forest. Such forests are suitable for subsequent processing, such as (some types of) reranking or LFG f-structure computation, that can be performed ontop of a shared forest, but that may have a high (e.g., exponential) complexity w.r.t. the number of trees contained in the forest. We evaluate the performances of both algorithms on real-scale NLP forests generated with a PCFG extracted from the Penn Treebank.
1:  ALPAGE (INRIA Rocquencourt)
INRIA – Université Paris VII - Paris Diderot
2:  Laboratoire d'informatique Fondamentale de Marseille (LIF)
CNRS : UMR6166 – Université de la Méditerranée - Aix-Marseille II – Université de Provence - Aix-Marseille I
Computer Science/Computation and Language