Exploring HPSG-based Treebanks for Probabilistic Parsing HPSG grammar extraction

Günter Neumann, Berthold Crysmann


Abstract
We 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.
Anthology ID:
L06-1360
Volume:
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Month:
May
Year:
2006
Address:
Genoa, Italy
Editors:
Nicoletta Calzolari, Khalid Choukri, Aldo Gangemi, Bente Maegaard, Joseph Mariani, Jan Odijk, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/595_pdf.pdf
DOI:
Bibkey:
Cite (ACL):
Günter Neumann and Berthold Crysmann. 2006. Exploring HPSG-based Treebanks for Probabilistic Parsing HPSG grammar extraction. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
Cite (Informal):
Exploring HPSG-based Treebanks for Probabilistic Parsing HPSG grammar extraction (Neumann & Crysmann, LREC 2006)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/595_pdf.pdf