Data-Driven Parsing using Probabilistic Linear Context-Free Rewriting Systems
In: Computational Linguistics, Jg. 39 (2013-03-01), S. 87-119
Online
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Zugriff:
This paper presents a first efficient implementation of a weighted deductive CYK parser for Probabilistic Linear Context-Free Rewriting Systems (PLCFRS), together with context-summary estimates for parse items used to speed up parsing. LCFRS, an extension of CFG, can describe discontinuities both in constituency and dependency structures in a straightforward way and is therefore a natural candidate to be used for data-driven parsing. We evaluate our parser with a grammar extracted from the German NeGra treebank. Our experiments show that data-driven LCFRS parsing is feasible with a reasonable speed and yields output of competitive quality.
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Data-Driven Parsing using Probabilistic Linear Context-Free Rewriting Systems
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Autor/in / Beteiligte Person: | Maier, Wolfgang ; Kallmeyer, Laura |
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Zeitschrift: | Computational Linguistics, Jg. 39 (2013-03-01), S. 87-119 |
Veröffentlichung: | MIT Press - Journals, 2013 |
Medientyp: | unknown |
ISSN: | 1530-9312 (print) ; 0891-2017 (print) |
DOI: | 10.1162/coli_a_00136 |
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