Please use this identifier to cite or link to this item:
doi:10.22028/D291-25770
Title: | Statistical A-star dependency parsing |
Author(s): | Dienes, Péter Koller, Alexander Kuhlmann, Marco |
Language: | German |
Year of Publication: | 2003 |
OPUS Source: | Proceedings of the workshop on Prospects and Advances of the Syntax/Semantics Interface, Nancy, 2003, pp.85-89 |
SWD key words: | Syntaktische Analyse ; Dependenzgrammatik |
Free key words: | Dependency Parsing |
DDC notations: | 004 Computer science, internet |
Publikation type: | Conference Paper |
Abstract: | Extensible Dependency Grammar (XDG; Duchier and Debusmann (2001)) is a recently developed dependency grammar formalism that allows the characterization of linguistic structures along multiple dimensions of description. It can be implemented efficiently using constraint programming (CP; Koller and Niehren 2002).In the CP context, parsing is cast as a search problem: The states of the search are partial parse trees, successful end states are complete and valid parses. In this paper, we propose a probability model for XDG dependency trees and an A-Star search control regime for the XDG parsing algorithm that guarantees the best parse to be found first. Extending XDG with a statistical component has the benefit of bringing the formalism further into the grammatical mainstream; it also enables XDG to efficiently deal with large, corpus-induced grammars that come with a high degree of ambiguity. |
Link to this record: | urn:nbn:de:bsz:291-scidok-2853 hdl:20.500.11880/25826 http://dx.doi.org/10.22028/D291-25770 |
Date of registration: | 5-Jul-2004 |
Faculty: | MI - Fakultät für Mathematik und Informatik |
Department: | MI - Informatik P - Sprachwissenschaft und Sprachtechnologie |
Former Department: | bis SS 2016: Fachrichtung 4.7 - Allgemeine Linguistik |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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