Searchable List of Research Output

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  • Leskes, B., Torenvliet, L. (2008) The value of agreement a new boosting algorithm.
    Journal of Computer and System Sciences, Vol. 74 (pp 557-586)
  • Leusden, N., Muskens, R. (2002) Construction by Description in Discourse Representation.
    Technical Reports. Institute for Logic, Language and Computation.
    Working paper | UvA-DARE
  • Lewis, M., Marsden, D., Sadrzadeh, Mehrnoosh (2020) Semantic spaces at the intersection of NLP, Physics, and Cognitive Science.
    IfCoLoG Journal of Logics and their Applications, Vol. 7 (pp 677-682)
    Article | UvA-DARE
  • Lewis, M., Mitchell, Melanie (2025) Evaluating the Robustness of Analogical Reasoning in GPT Models.
    Transactions on Machine Learning Research, Vol. 2025
    Article | UvA-DARE
  • Lewis, M., Sadrzadeh, Mehrnoosh (2021) Preface.
    In Lewis, M. Sadrzadeh, M. (Eds.), Workshop on Semantic Spaces at the Intersection of NLP, Physics, and Cognitive Science : proceedings of the 2021 workshop: SemSpace 2021 : June 16th, 2021 (pp iii). Association for Computational Linguistics.
  • Lewis, M. (2019) Compositional Hyponymy with Positive Operators.
    In Angelova, G. Mitkov, R. Nikolova, I. Temnikova, I. (Eds.), International Conference Recent Advances in Natural Language Processing : RANLP 2019: Natural Language Processing in a Deep Learning World : proceedings : Varna, Bulgaria, 2-4 September, 2019 (pp 638–647). INCOMA Ltd..
  • Lewis, M. (2019) Compositionality for recursive neural networks.
    IfCoLoG Journal of Logics and their Applications, Vol. 6 (pp 709-724)
    Article | UvA-DARE
  • Lewis, M. (2020) Towards logical negation in compositional distributional semantics.
    IfCoLoG Journal of Logics and their Applications, Vol. 7 (pp 771-793)
    Article | UvA-DARE
  • Leymann, S., Lentz, T.O., Burgers, C.F. (2022) Prosodic markers of satirical imitation.
    Humor, Vol. 35 (pp 509-529)
  • Leymann, S.I.D., Lentz, T.O., Burgers, C.F. (2020) Global vs. Local: A New Approach to Analyzing Prosodic Features of Irony.
    Abstract | UvA-DARE
  • Leymann, S.I.D., Lentz, T.O., Burgers, C.F. (2020) Identifying Political Satire through Ironic Prosody.
    Abstract | UvA-DARE
  • Li, D. (2021) Formal threads in the social fabric: Studies in the logical dynamics of multi-agent interaction.
    Thesis, fully internal | UvA-DARE
  • Li, Jiaxin, Baker, D.J., Burgoyne, J.A., Han, Han, Henry, N., Lostanlen, Vincent, Sadakata, M., Van der Vlist, Matthias, T. M. van Schaik, Frans, Janmaat, K.R.L., Honing, H. (2025) Is Pitch Indispensable for Music Recognition? Robust Music Recognition Under Spectral and Temporal Degradations in BaYaka Hunter-Gatherers.
    Abstract | UvA-DARE
  • Li, Jiaxin, Baker, D.J., Burgoyne, J.A., Honing, H. (2023) Is Pitch Information Indispensable for Music Recognition? A Pilot Study Based on a Musical Matching Pairs Game.
    In Tsuzaki, M. Sadakata, M. Ikegami, S. Matsui, T. Okano, M. Shoda, H. (Eds.), The e-proceedings of the 17th International Conference on Music Perception and Cognition and the 7th Conference of the Asia-Pacific Society for the Cognitive Sciences of Music (pp 65-71). The Japanese Society for Music Perception and Cognition.
  • Li, Jiaxin, Baker, David John, Burgoyne, J.A., Honing, H. (2022) Unravelling Our Capacity for Music: The Potential Role of Memory-Based Games.
    Paper | UvA-DARE
  • Li, Jiaxin, Baker, David John, Burgoyne, J.A., Honing, H. (2022) The Possibilities and Impossibilities of the Matching-Pairs Game for Music Cognition Research — An Evaluation of a Case Study.
    Paper | UvA-DARE
  • Li, Jiaxin, Henry, N., Han, Han, Lostanlen, Vincent, Burgoyne, J.A., Honing, H. (2025) What do we listen to when listening to familiar music? A large-scale cross-cultural study probing the capacity for music using a variety of corpora.
    Abstract | UvA-DARE
  • Li, L., Titov, I., Sporleder, C. (2014) Improved Estimation of Entropy for Evaluation of Word Sense Induction.
    Computational Linguistics, Vol. 40 (pp 671-685)
  • Li, L. (2023) Games, boards and play: A logical perspective.
    ILLC Dissertation Series
    Thesis, fully internal | UvA-DARE
  • Li, M., Chen, X., Li, B., Vitanyi, P.M.B. (2004) The similarity metric.
    IEEE Transactions on Information Theory, Vol. 50 (pp 3250-3264)

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