tailieunhanh - Báo cáo khoa học: "Deterministic shift-reduce parsing for unification-based grammars by using default unification"

Many parsing techniques including parameter estimation assume the use of a packed parse forest for efficient and accurate parsing. However, they have several inherent problems deriving from the restriction of locality in the packed parse forest. Deterministic parsing is one of solutions that can achieve simple and fast parsing without the mechanisms of the packed parse forest by accurately choosing search paths. We propose (i) deterministic shift-reduce parsing for unification-based grammars, and (ii) best-first shift-reduce parsing with beam thresholding for unification-based grammars. Deterministic parsing cannot simply be applied to unification-based grammar parsing, which often fails because of its hard. | Deterministic shift-reduce parsing for unification-based grammars by using default unification Takashi Ninomiya Information Technology Center University of Tokyo Japan ninomi@ Nobuyuki Shimizu Information Technology Center University of Tokyo Japan shimizu@ Takuya Matsuzaki Department of Computer Science University of Tokyo Japan matuzaki@ Hiroshi Nakagawa Information Technology Center University of Tokyo Japan nakagawa@ Abstract Many parsing techniques including parameter estimation assume the use of a packed parse forest for efficient and accurate parsing. However they have several inherent problems deriving from the restriction of locality in the packed parse forest. Deterministic parsing is one of solutions that can achieve simple and fast parsing without the mechanisms of the packed parse forest by accurately choosing search paths. We propose i deterministic shift-reduce parsing for unification-based grammars and ii best-first shift-reduce parsing with beam thresholding for unification-based grammars. Deterministic parsing cannot simply be applied to unification-based grammar parsing which often fails because of its hard constraints. Therefore it is developed by using default unification which almost always succeeds in unification by overwriting inconsistent constraints in grammars. 1 Introduction Over the last few decades probabilistic unification-based grammar parsing has been investigated intensively. Previous studies Abney 1997 Johnson et al. 1999 Kaplan et al. 2004 Malouf and van Noord 2004 Miyao and Tsujii 2005 Riezler et al. 2000 defined a probabilistic model of unification-based grammars including head-driven phrase structure grammar HPSG lexical functional grammar LFG and combinatory categorial grammar CCG as a maximum entropy model Berger et al. 1996 . Geman and Johnson Geman and Johnson 2002 and Miyao and Tsujii Miyao and Tsujii 2002 proposed a feature forest which is

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