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Climbing the Hill of Computational Semantics

Interview with Alexander Koller, Saarland University

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Notes

  1. Natural Language Generation.

  2. https://lacker.io/ai/2020/07/06/giving-gpt-3-a-turing-test.html.

  3. Natural Language Understanding.

References

  1. Bender EM, Koller A (2020) Climbing towards NLU: On meaning, form, and understanding in the age of data. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Online, pp 5185–5198, https://doi.org/10.18653/v1/2020.acl-main.463, https://www.aclweb.org/anthology/2020.acl-main.463

  2. Koller A (2004) Constraint-based and graph-based resolution of ambiguities in natural language. PhD thesis

  3. Koller A, Striegnitz K, Byron D, Cassell J, Dale R, Moore J, Oberlander J (2009) The first challenge on generating instructions in virtual environments. In: Empirical Methods in Natural Language Generation, Springer, pp 328–352

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Acknowledgements

We thank Stephan Oepen for help with preparing and conducting the interview, and of course Alexander Koller for his cooperation and very interesting insights. We are grateful to Anne Pedersen for her help with copy edits.

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Authors and Affiliations

  1. University of Copenhagen, Copenhagen, Denmark

    Daniel Hershcovich

  2. Saarland University, Saarbrücken, Germany

    Lucia Donatelli

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  1. Daniel Hershcovich
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  2. Lucia Donatelli
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Correspondence to Daniel Hershcovich.

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Hershcovich, D., Donatelli, L. Climbing the Hill of Computational Semantics. Künstl Intell 35, 361–365 (2021). https://doi.org/10.1007/s13218-021-00718-6

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  • DOI: https://doi.org/10.1007/s13218-021-00718-6

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