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Speeding Up Multilingual Grammar Development by Exploiting Linked Data to Generate Pre-terminal Rules

  • Sebastian Walter
  • Christina Unger
  • Philipp Cimiano
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8455)

Abstract

The development of grammars, e.g. for spoken dialog systems, is a time- and effort-intensive process. Especially the crafting of rules that list all relevant instances of a non-terminal, e.g. Greek cities or Automobile companies, possibly in multiple languages, is costly. In order to automatize and speed up the generation of multilingual terminal lists, we present a tool that uses linked data sources such as DBpedia in order to retrieve all entities that satisfy a relevant semantic restriction. We briefly describe the architecture of the system and explain how it can be used by means of an online web service.

Keywords

Resource Description Framework Input Resource Link Open Data Grammar Format Anchor Text 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: DBpedia – a crystallization point for the web of data. Web Semantics: Science, Services and Agents on the World Wide Web 7(3), 154–165 (2009)CrossRefGoogle Scholar
  2. 2.
    Riccardi, G., Cimiano, P., Potamianos, A., Unger, C.: Up from limited dialog systems! In: NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data, pp. 1–2. Association for Computational Linguistics (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sebastian Walter
    • 1
  • Christina Unger
    • 1
  • Philipp Cimiano
    • 1
  1. 1.Semantic Computing Group, CITECBielefeld UniversityBielefeldGermany

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