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Answer Set Programming Applied to Coreference Resolution and Semantic Similarity

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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.

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Notes

  1. https://github.com/knowlp/caspr-coreference-tool.

  2. https://bitbucket.com/knowlp/asp-fo-abduction.

  3. https://github.com/knowlp/XHAIL.

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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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Authors and Affiliations

  1. Marmara University, Istanbul, Turkey

    Peter Schüller

  2. Technische Universität Wien, Vienna, Austria

    Peter Schüller

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  1. Peter Schüller
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Correspondence to Peter Schüller.

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Schüller, P. Answer Set Programming Applied to Coreference Resolution and Semantic Similarity. Künstl Intell 32, 207–208 (2018). https://doi.org/10.1007/s13218-018-0539-7

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  • DOI: https://doi.org/10.1007/s13218-018-0539-7

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