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  • 标题:Robust Conversion of CCG Derivations to Phrase Structure Trees
  • 本地全文:下载
  • 作者:Jonathan K. Kummerfeld ; Dan Klein ; James R. Curran
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2012
  • 卷号:2012
  • 出版社:ACL Anthology
  • 摘要:We propose an improved, bottom-up method for converting CCG derivations into PTB-style phrase structure trees. In contrast with past work (Clark and Curran, 2009), which used simple transductions on category pairs, our approach uses richer transductions attached to single categories. Our conversion preserves more sentences under round-trip conversion (51.1% vs. 39.6%) and is more robust. In particular, unlike past methods, ours does not require ad-hoc rules over non-local features, and so can be easily integrated into a parser.
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