Exploring HPSG-based Treebanks for Probabilistic Parsing HPSG grammar extraction

10238

Authors

nan

Abstract

AbstractWe describe a method for the automatic extraction of a Stochastic Lexicalized Tree Insertion Grammar from a linguistically rich HPSG Treebank. The extraction method is strongly guided by HPSG-based head and argument decomposition rules. The tree anchors correspond to lexical labels encoding fine-grained information. The approach has been tested with a German corpus achieving a labeled recall of 77.33% and labeled precision of 78.27%, which is competitive to recent results reported for German parsing using the Negra Treebank.

Keywords

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Full Content

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Labeled Text

AbstractWe describe a method for the automatic extraction of a Stochastic Lexicalized Tree Insertion Grammar from a linguistically rich HPSG Treebank. The extraction method is strongly guided by HPSG-based head and argument decomposition rules. The tree anchors correspond to lexical labels encoding fine-grained information. The approach has been tested with a German corpus achieving a labeled recall of 77.33% and labeled precision of 78.27%, which is competitive to recent results reported for German parsing using the Negra Treebank.

Publication Details

Paper ID:
10238
Year:
2006
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan