Searchable List of Research Output

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  • Ramotowska, S., Archambeau, K., Augurzky, P., Schlotterbeck, F., Berberyan, H.S., Van Maanen, L., Szymanik, J. (2024) Testing two-step models of negative quantification using a novel machine learning analysis of EEG.
    Language, Cognition and Neuroscience, Vol. 39 (pp 632-656)
  • Ramotowska, S., Haaf, J., Van Maanen, L., Szymanik, J. (2024) Most quantifiers have many meanings.
    Psychonomic Bulletin & Review, Vol. 31 (pp 2692-2703)
  • Ramotowska, S., Steinert Threlkeld, S.N.M., van Maanen, L., Szymanik, J.K. (2019) Individual differences in semantic representations affect quantifier processing.
    Paper | UvA-DARE
  • Ramotowska, S., Steinert Threlkeld, S.N.M., van Maanen, L., Szymanik, J.K. (2019) Most, but not more than half, is proportion-dependent and sensitive to individual differences.
    Abstract | UvA-DARE
  • Ramotowska, S., Steinert-Threlkeld, S., Van Maanen, L., Szymanik, J. (2020) Most, but not more than half, is proportion-dependent and sensitive to individual differences.
    In Franke, M. Kompa, N. Liu, M. Mueller, J.L. Schwab, J. (Eds.), Proceedings of Sinn und Bedeutung 24 (pp 165–182). Osnabrück University.
  • Ramotowska, S., van Maanen, L., Szymanik, J.K., Steinert Threlkeld, S.N.M. (2019) Most, but not more than half, is proportion-dependent and sensitive to individual differences.
    Poster | UvA-DARE
  • Ramotowska, S. (2022) Quantifying quantifier representations: Experimental studies, computational modeling, and individual differences.
    ILLC dissertation series
    Thesis, externally prepared | UvA-DARE
  • Ramotowska, S. (2023) Some but not all speakers sometimes but not always derive scalar implicatures.
    Poster | UvA-DARE
  • Ramotowska, S. (2024) Some but not all speakers sometimes but not always derive scalar implicatures.
    Poster | UvA-DARE
  • Ramotowska, S. (2025) Individual differences in the delay effect across scales.
    In Individual differences in the delay effect across scales (Proceedings of the Annual Meeting of the Cognitive Science Society 47)
  • Ranum, O., Otterspeer, G., Andersen, J.I., Belleman, R., Roelofsen, F. (2024) 3D-LEX v1.0: 3D Lexicons for American Sign Language and Sign Language of the Netherlands.
    In Efthimiou, E. Fotinea, S.-E. Hanke, T. Hochgesang, J.A. Mesch, J. Schulder, M. (Eds.), 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources (sign-lang@LREC-COLING 2024): LREC-COLING 2024 : workshop proceedings : 25 May 2024, Torino, Italia (pp 290-301) (COLING
    LREC). European Language Resources Association.
  • Räsch, T., Löwe, B., Malzkorn, W. (2003) Foundations of the Formal Sciences II,Applications of Mathematical Logic to Philosophy and Linguistics, Papers of a Conference held in Bonn,November 10-13, 2000.
    Trends in Logic. Kluwer.
    Book (Editorship) | UvA-DARE
  • Rasterhoff, C., Beelen, K. (2020) Coordination in early modern markets for knowledge: ‘Always something new’.
    In Leemans, I. Goldgar, A. (Eds.), Early Modern Knowledge Societies as Affective Economies (pp 228-250) (Knowledge Societies in History). Routledge.
  • Rau, D., Dehghani, M., Kamps, J. (2024) Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers.
    ACM Transactions on Information Systems, Vol. 42
  • Rau, D., Kamps, J. (2020) University of Amsterdam at TREC 2020: Deep Learning Track.
    Paper | UvA-DARE
  • Rau, D., Kamps, J. (2022) Recall Aspects of Transformers for Text Ranking.
    In Soboroff, I. Ellis, A. (Eds.), The Thirtieth Text REtrieval Conference (TREC 2021) Proceedings (NIST Special Publication). National Institute of Standards and Technology.
  • Rau, D., Kamps, J. (2022) How Different are Pre-trained Transformers for Text Ranking?.
    In Hagen, M. Verberne, S. Macdonald, C. Seifert, C. Balog, K. Nørvåg, K. Setty, V. (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (pp 207-214) (Lecture Notes in Computer Science, Vol. 13186). Springer.
  • Rau, D., Kamps, J. (2022) The Role of Complex NLP in Transformers for Text Ranking?.
    In ICTIR'22: proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval : July 11-12, 2022, Madrid, Spain (pp 153-160). The Association for Computing Machinery.
  • Rau, D., Kamps, J. (2024) Query Generation Using Large Language Models: A Reproducibility Study of Unsupervised Passage Reranking.
    In Goharian, N. Tonellotto, N. He, Y. Lipani, A. McDonald, G. Macdonald, C. Ounis, I. (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (pp 226-239) (Lecture Notes in Computer Science, Vol. 14611). Springer.
  • Rau, D., Wang, S., Déjean, H., Clinchant, S., Kamps, J. (2025) Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation.
    In WSDM '25: Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining : March 10-14, 2025, Hannover, Germany (pp 493-502). Association for Computing Machinery.

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