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Constructing parse forests that include exactly the n-best PCFG trees

Abstract : 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.
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Contributor : Benoît Sagot Connect in order to contact the contributor
Submitted on : Tuesday, August 23, 2011 - 10:57:12 PM
Last modification on : Friday, February 12, 2021 - 3:09:45 AM


  • HAL Id : inria-00616688, version 1



Pierre Boullier, Alexis Nasr, Benoît Sagot. Constructing parse forests that include exactly the n-best PCFG trees. IWPT'09 - 11th International Conference on Parsing Technologies, Oct 2009, Paris, France. ⟨inria-00616688⟩



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