@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}
}
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