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KI - Künstliche Intelligenz

, Volume 32, Issue 2–3, pp 207–208 | Cite as

Answer Set Programming Applied to Coreference Resolution and Semantic Similarity

  • Peter Schüller
Project Report
  • 82 Downloads

Abstract

We describe two research projects about solving problems in Computational Linguistics using Answer Set Programming, and we conclude with several lessons learned from these projects.

Notes

Acknowledgements

I am grateful to my collaborators and to my students. OmSieve and Inspire have been supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grants 114E430 and 114E777.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Marmara UniversityIstanbulTurkey
  2. 2.Technische Universität WienViennaAustria

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