Towards Comparability of Linguistic Graph Banks for Semantic Parsing

Stephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Silvie Cinková, Dan Flickinger, Jan Hajič, Angelina Ivanova, Zdeňka Urešová


Abstract
We announce a new language resource for research on semantic parsing, a large, carefully curated collection of semantic dependency graphs representing multiple linguistic traditions. This resource is called SDP~2016 and provides an update and extension to previous versions used as Semantic Dependency Parsing target representations in the 2014 and 2015 Semantic Evaluation Exercises. For a common core of English text, this third edition comprises semantic dependency graphs from four distinct frameworks, packaged in a unified abstract format and aligned at the sentence and token levels. SDP 2016 is the first general release of this resource and available for licensing from the Linguistic Data Consortium in May 2016. The data is accompanied by an open-source SDP utility toolkit and system results from previous contrastive parsing evaluations against these target representations.
Anthology ID:
L16-1630
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
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Pages:
3991–3995
Language:
URL:
https://aclanthology.org/L16-1630
DOI:
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Cite (ACL):
Stephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Silvie Cinková, Dan Flickinger, Jan Hajič, Angelina Ivanova, and Zdeňka Urešová. 2016. Towards Comparability of Linguistic Graph Banks for Semantic Parsing. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3991–3995, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Towards Comparability of Linguistic Graph Banks for Semantic Parsing (Oepen et al., LREC 2016)
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PDF:
https://preview.aclanthology.org/update-css-js/L16-1630.pdf