Summary of the paper

Title How to Tell a Schneemann from a Milchmann: An Annotation Scheme for Compound-Internal Relations
Authors Corina Dima, Verena Henrich, Erhard Hinrichs and Christina Hoppermann
Abstract This paper presents a language-independent annotation scheme for the semantic relations that link the constituents of noun-noun compounds, such as Schneemann 'snow man' or Milchmann 'milk man'. The annotation scheme is hybrid in the sense that it assigns each compound a two-place label consisting of a semantic property and a prepositional paraphrase. The resulting inventory combines the insights of previous annotation schemes that rely exclusively on either semantic properties or prepositions, thus avoiding the known weaknesses that result from using only one of the two label types. The proposed annotation scheme has been used to annotate a set of 5112 German noun-noun compounds. A release of the dataset is currently being prepared and will be made available via the CLARIN Center Tübingen. In addition to the presentation of the hybrid annotation scheme, the paper also reports on an inter-annotator agreement study that has resulted in a substantial agreement among annotators.
Topics Lexicon, Lexical Database, Semantics
Full paper How to Tell a Schneemann from a Milchmann: An Annotation Scheme for Compound-Internal Relations
Bibtex @InProceedings{DIMA14.329,
  author = {Corina Dima and Verena Henrich and Erhard Hinrichs and Christina Hoppermann},
  title = {How to Tell a Schneemann from a Milchmann: An Annotation Scheme for Compound-Internal Relations},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 }
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