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@InCollection{Neumann:2002,
      AUTHOR = {Neumann, Günter},
      TITLE = {Data-driven Approaches to Head-driven Phrase Structure Grammar},
      YEAR = {2002},
      BOOKTITLE = {Introduction to Data-oriented Parsing},
      EDITOR = {Bod, Rens and Scha, Remko and Sima'an, Khahil},
      ADDRESS = {Stanford},
      PUBLISHER = {CSLI Publications},
      URL = {http://www.dfki.de/~neumann/publications/new-ps/hpsg-dop-main.pdf},
      ABSTRACT = {We present HPSG–DOP, a method for automatically extracting a Stochastic Lexicalized Tree Grammar (SLTG) from a HPSG source grammar and a given corpus.1 Processing of a SLTG is performed by a specialized fast parser. The approach has been tested on a large English grammar and has been shown to achieve additional performance increase compared to parsing with a highly tuned HPSG parser. Our approach is simple and transparent. The extracted grammars are declaratively represented and have a high degree of practical applicability.},
      ANNOTE = {COLIURL : Neumann:2002:DDA.pdf}
}