Summary of the paper

Title Towards Comparability of Linguistic Graph Banks for Semantic Parsing
Authors Stephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Silvie Cinkova, Dan Flickinger, Jan Hajic, Angelina Ivanova and Zdenka Uresova
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.
Topics Parsing, Semantics, Standards for LRs
Full paper Towards Comparability of Linguistic Graph Banks for Semantic Parsing
Bibtex @InProceedings{OEPEN16.887,
  author = {Stephan Oepen and Marco Kuhlmann and Yusuke Miyao and Daniel Zeman and Silvie Cinkova and Dan Flickinger and Jan Hajic and Angelina Ivanova and Zdenka Uresova},
  title = {Towards Comparability of Linguistic Graph Banks for Semantic Parsing},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
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