GENIA-GR: a Grammatical Relation Corpus for Parser Evaluation in the Biomedical Domain

Yuka Tateisi, Yusuke Miyao, Kenji Sagae, Jun’ichi Tsujii

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Abstract
We report the construction of a corpus for parser evaluation in the biomedical domain. A 50-abstract subset (492 sentences) of the GENIA corpus (Kim et al., 2003) is annotated with labeled head-dependent relations using the grammatical relations (GR) evaluation scheme (Carroll et al., 1998) ,which has been used for parser evaluation in the newswire domain.
Anthology ID:
L08-1073
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Editors:
Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
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Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/496_paper.pdf
DOI:
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Cite (ACL):
Yuka Tateisi, Yusuke Miyao, Kenji Sagae, and Jun’ichi Tsujii. 2008. GENIA-GR: a Grammatical Relation Corpus for Parser Evaluation in the Biomedical Domain. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):
GENIA-GR: a Grammatical Relation Corpus for Parser Evaluation in the Biomedical Domain (Tateisi et al., LREC 2008)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/496_paper.pdf
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