Searchable List of Research Output

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  • Schlichtkrull, M.S. (2021) Incorporating structure into neural models for language processing.
    ILLC dissertation series. Institute for Logic, Language and Computation.
    Thesis, fully internal | UvA-DARE
  • Schlichtkrull, Michael Sejr, De Cao, Nicola, Titov, I. (2021) Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.
  • Schlobach, S., Cornet, R. (2003) Non-standard reasoning services for the debugging of description logic terminologies.
    In Proceedings of the 15th Belgium-Netherlands Conference on Artificial Intelligence03
    Conference contribution | UvA-DARE
  • Schlobach, S., Cornet, R. (2003) Explanation of terminological reasoning; a preliminary report.
    In Proceedings of the Description Logics Workshop 2003
    Conference contribution | UvA-DARE
  • Schlobach, S., Cornet, R. (2003) Non-standard reasoning services for the debugging of description logic terminologies.
    In Kaufmann, M. (Eds.), Proceedings of the 18th International Joint Conference on Artificial Intelligence, IJCAI'03
    Conference contribution | UvA-DARE
  • Schlobach, S. (2003) Optimal Interpolation in ALC.
    Technical Reports. Institute for Logic, Language and Computation.
    Working paper | UvA-DARE
  • Schlobach, S. (2003) Optimal interpolation.
    In Proceedings of Methods for Modalities 3
    Conference contribution | UvA-DARE
  • Schlöder, J.J., Breitholtz, E., Fernández, R. (2016) Why?.
    In Hunter, J. Simons, M. Stone, M. (Eds.), SEMDIAL 2016 : JerSem: Proceedings of the 20th Workshop on the Semantics and Pragmatics of Dialogue : New Brunswick, NJ, 16-18 July 2016 (pp 5-14) (Proceedings SemDial, Vol. 2016). Rutgers University.
  • Schlöder, J.J., Fernández, R. (2014) The Role of Polarity in Inferring Acceptance and Rejection in Dialogue.
    In Georgila, K. Stone, M. Hastie, H. Nenkova, A. (Eds.), SIGDIAL 2014 : 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue: proceedings of the conference : 18-20 June 2014, Philadelphia, PA, USA (pp 151-160). Association for Computational Linguistics.
  • Schlöder, J.J., Fernández, R. (2015) Clarifying Intentions in Dialogue: A Corpus Study.
    In Purver, M. Sadrzadeh, M. Stone, M. (Eds.), IWCS 2015 : Proceedings of the 11th International Conference on Computational Semantics: 15-17 April, 2015, Queen Mary University of London, London, UK (pp 46-51). The Association for Computational Linguistics.
  • Schlöder, J.J., Fernández, R. (2015) Pragmatic Rejection.
    In Purver, M. Sadrzadeh, M. Stone, M. (Eds.), IWCS 2015 : Proceedings of the 11th International Conference on Computational Semantics: 15-17 April, 2015, Queen Mary University of London, London, UK (pp 250-260). The Association for Computational Linguistics.
  • Schlöder, J.J., Fernández, R. (2019) How to Reject What in Dialogue.
    In Howes, C. Hough, J. Kennington, C. (Eds.), LondonLogue : Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue: London, 4-6-September 2019 (pp 99-108) (Proceedings SemDial, Vol. 2019). SEMDIAL.
  • Schlöder, J.J., Lascarides, A. (2015) Interpreting English Pitch Contours in Context.
    In Proceedings of the 19th Workshop on the Semantics and Pragmatics of Dialogue
    Conference contribution | UvA-DARE
  • Schlöder, J.J., Lascarides, A. (2020) Understanding Focus: Pitch, Placement and Coherence.
    Semantics and Pragmatics, Vol. 13
  • Schlöder, J.J., McHugh, D., Roelofsen, F. (2019) Proceedings of the 22nd Amsterdam Colloquium.
    ILLC, UvA.
  • Schlöder, J.J. (2015) A Formal Semantics of the Final Rise.
    In ESSLLI 2015 Student Session
    Conference contribution | UvA-DARE
  • Schlöder, J.J. (2018) The Logic of the Knowledge Norm of Assertion.
    Thought: a Journal of Philosophy, Vol. 7 (pp 49-57)
  • Schlöder, J.J. (2018) Assertion and rejection.
    Thesis, fully internal | UvA-DARE
  • Schlöder, J.J. (2021) Counterfactual knowability revisited.
    Synthese, Vol. 198 (pp 1123–1137)
  • Schlotterbeck, F., Ramotowska, S., van Maanen, L., Szymanik, J. (2020) Representational complexity and pragmatics cause the monotonicity effect.
    In 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): Developing a Mind: Learning in Humans, Animals, and Machines : online, 29 July-1 August 2020 (pp 3397-3403). Cognitive Science Society.

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