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Parsing with the Shortest Derivation (2000)

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by Rens Bod
Venue:Proceedings COLING-2000
Citations:39 - 15 self
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BibTeX

@INPROCEEDINGS{Bod00parsingwith,
    author = {Rens Bod},
    title = {Parsing with the Shortest Derivation},
    booktitle = {Proceedings COLING-2000},
    year = {2000}
}

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Abstract

tens @ scs.lecd s.ac.uk Common wisdom has it that tile bias of stochastic grammars in favor of shorter deriwttions of a sentence is hamfful and should be redressed. We show that the common wisdom is wrong for stochastic grammars that use elementary trees instead o1 ' conlext-l'ree rules, such as Stochastic Tree-Substitution Grammars used by Data-Oriented Parsing models. For such grammars a non-probabilistic metric based on tile shortest derivation outperforms a probabilistic metric on the ATIS and OVIS corpora, while it obtains competitive results on the Wall Street Journal (WSJ) corpus. This paper also contains the first publislmd experiments with DOP on the WSJ. 1.

Keyphrases

shortest derivation    stochastic grammar    tile bias    first publislmd experiment    stochastic tree-substitution grammar    ree rule    elementary tree    wall street journal    ovis corpus    uk common wisdom    common wisdom    competitive result    data-oriented parsing model   

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