Searchable List of Research Output

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  • Schulz, K., van Rooij, R. (2005) `Only': meaning and implicature. The very incomplete short version.
    In Proceedings Sinn und Bedeutung
    Conference contribution | UvA-DARE
  • Schulz, K., van Rooij, R. (2006) Pragmatic Meaning and Non-monotonic Reasoning: The Case of Exhaustive Interpretation.
    Linguistics and Philosophy, Vol. 29 (pp 205-250)
  • Schulz, K. (2005) A pragmatic solution for the paradox of free choice permission.
    Synthese, Vol. 147 (pp 343)
  • Schulz, K. (2007) Minimal models in semantics and pragmatics : free choice, exhaustivity, and conditionals.
    Institute for Logic, Language and Computation.
    Thesis, fully internal | UvA-DARE
  • Schulz, K. (2007) Counterfactual conditionals and dynamic laws.
    In Aloni, M. Dekker, P. (Eds.), Sixteenth Amsterdam Colloquium (pp 193-198). ILLC, University of Amsterdam.
    Conference contribution | UvA-DARE
  • Schulz, K. (2007) English past and perfect as semantically ambiguous mood marker.
    In Aloni, Maria Dekker, Paul (Eds.), Sixteenth Amsterdam Colloquium (pp 27-30). ILLC, University of Amsterdam.
    Conference contribution | UvA-DARE
  • Schulz, K. (2008) Non-deictic tenses in conditionals.
    Proceedings from Semantics and Linguistic Theory, Vol. 18 (pp 694-710)
  • Schulz, K. (2010) Troubles at the Semantics/Syntax Interface: Some thoughts about the modal approach to conditionals.
    In Prinzhorn, M. Schmitt, V. Zobel, S. (Eds.), Proceedings of Sinn und Bedeutung 14 (pp 388-404). University of Vienna, Department of linguistics.
  • Schulz, K. (2011) "If you'd wiggled A, then B would've changed": Causality and counterfactual conditionals.
    Synthese, Vol. 179 (pp 239-251)
  • Schulz, K. (2014) Fake Tense in Conditional Sentences: A Modal Approach.
    Natural Language Semantics, Vol. 22 (pp 117-144)
  • Schulz, K. (2014) Minimal models vs. logic programming: the case of counterfactual conditionals.
    Journal of Applied Non-Classical Logics, Vol. 24 (pp 153-168)
  • Schulz, K. (2015) Conditionals from a linguistic point of view: Two case studies.
    Journal of Philosophical Logic, Vol. 44 (pp 805-816)
  • Schulz, K. (2017) Fake perfect in X-marked conditionals.
    Proceedings from Semantics and Linguistic Theory, Vol. 27 (pp 547-570)
  • Schulz, K. (2018) The similarity approach strikes back: Negation in counterfactuals.
    In Sauerland, U. Solt, S. (Eds.), Proceedings of Sinn und Bedeutung 22 (pp 343-360) (ZAS Papers in Linguistics, Vol. 61). Leibniz-Centre General Linguistics.
  • Schulz, P., Aziz, W., Cohn, T. (2018) A Stochastic Decoder for Neural Machine Translation.
    In Gurevych, I. Miyao, Y. (Eds.), ACL 2018 : The 56th Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : July 15-20, 2018, Melbourne, Australia (pp 1243-1252). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/P18-1115 | UvA-DARE
  • Schulz, P., Aziz, W., Sima'an, K. (2016) Word Alignment without NULL words.
    In Erk, K. Smith, N.A. (Eds.), The 54th Annual Meeting of the Association for Computational Linguistics : ACL 2016: proceedings of the conference : August 7-12, 2016, Berlin Germany (pp 169-174). Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/P16-2028 | UvA-DARE
  • Schulz, P., Aziz, W. (2016) Fast Collocation-Based Bayesian HMM Word Alignment.
    In Matsumoto, Y. Prasad, R. (Eds.), Proceedings of COLING 2016: technical papers: the 26th International Conference on Computational Linguistics : Osaka, Japan, December 11-17 2016 (pp 3146-3155). The COLING 2016 Organizing Committee.
  • Schulz, P. (2020) Latent variable models for machine translation and how to learn them.
    Institute for Logic, Language and Computation.
    Thesis, fully internal | UvA-DARE
  • Schuurman, E., Cazemier, M., Buijs, L., Kamps, J. (2024) University of Amsterdam at the CLEF 2024 Joker Track.
    In Faggioli, G. Ferro, N. Galuščáková, P. García Seco de Herrera, A. (Eds.), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024): Grenoble, France, 9-12 September, 2024 (pp 1909-1922) (CEUR Workshop Proceedings, Vol. 3740). CEUR-WS.
  • Seginer, Y. (2002) Fast learning from strings of 2-letter rigid grammars.
    In van Zaanen, M. Adriaans, P. Fernau, H. (Eds.), Grammatical Inference: Algorithms and Applications, ICGI 2002, volume 2484 of LNAI (pp 213-224). Springer Verlag.
    Chapter | UvA-DARE

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