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- W2085560712 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." @default.
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- W2085560712 date "2009-01-01" @default.
- W2085560712 modified "2023-09-23" @default.
- W2085560712 title "Constructing parse forests that include exactly the n-best PCFG trees" @default.
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- W2085560712 doi "https://doi.org/10.3115/1697236.1697259" @default.
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