首页    期刊浏览 2025年07月05日 星期六
登录注册

文章基本信息

  • 标题:Data-Driven Parsing using Probabilistic Linear Context-Free Rewriting Systems
  • 本地全文:下载
  • 作者:Laura Kallmeyer ; Wolfgang Maier
  • 期刊名称:Computational Linguistics
  • 印刷版ISSN:0891-2017
  • 电子版ISSN:1530-9312
  • 出版年度:2013
  • 卷号:39
  • 期号:1
  • 页码:87-119
  • DOI:10.1162/COLI_a_00136
  • 语种:English
  • 出版社:MIT Press
  • 摘要:This paper presents the first efficient implementation of a weighted deductive CYK parser for Probabilistic Linear Context-Free Rewriting Systems (PLCFRSs). LCFRS, an extension of CFG, can describe discontinuities in a straightforward way and is therefore a natural candidate to be used for data-driven parsing. To speed up parsing, we use different context-summary estimates of parse items, some of them allowing for A* parsing. We evaluate our parser with grammars extracted from the German NeGra treebank. Our experiments show that data-driven LCFRS parsing is feasible and yields output of competitive quality.
国家哲学社会科学文献中心版权所有