Searchable List of Research Output

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  • Timmers, R., Honing, H. (2002) On music performance, theories, measurement and diversity.
    Cognitive Processing (International Quarterly of Cognitive Sciences), Vol. 1/2 (pp 1-19)
    Article | UvA-DARE
  • Timmers, R., Sadakata, M. (2014) Training expressive performance by means of visual feedback: existing and potential applications of performance measurement techniques.
    In Fabian, D. Timmers, R. Schubert, E. (Eds.), Expressiveness in music performance: Empirical approaches across styles and cultures (pp 304-327). Oxford University Press.
  • Titov, I., Khoddam, E. (2015) Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework.
    In Mihalcea, R. Chai, J. Sarkar, A. (Eds.), NAACL HLT 2015: The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference : May 31-June 5, 2015, Denver, Colorado, USA (pp 1-10). The Association for Computational Linguistics.
  • Todoran, L., Aiello, M., Monz, C., Worring, M. (2001) Logical structure detection for heterogeneous document classes.
    In Zhou, J. Kantor, P.B. Lopresti, D.P. (Eds.), Document Recognition and Retrieval VIII (pp 99-111) (Proceedings SPIE, Vol. 3407). SPIE Press.
    Conference contribution | UvA-DARE
  • Todorov, K., Colavizza, G. (2020) Transfer Learning for Historical Corpora: An Assessment on Post-OCR Correction and Named Entity Recognition.
    In Karsdorp, F. McGillivray, M. Nerghes, A. Wevers, M. (Eds.), Proceedings of the Workshop on Computational Humanities Research (CHR 2020): Amsterdam, the Netherlands, November 18-20, 2020 (pp 310-339) (CEUR Workshop Proceedings, Vol. 2723). CEUR-WS.
  • Todorov, Konstantin, Colavizza, G. (2022) An Assessment of the Impact of OCR Noise on Language Models.
  • Toledo, A., Sassoon, G.W. (2011) Absolute vs. Relative Adjectives - Variance Within vs. Between Individuals.
    Proceedings from Semantics and Linguistic Theory, Vol. 21 (pp 134-154)
  • Tomamichel, M., Schaffner, C., Smith, A., Renner, R. (2011) Leftover Hashing Against Quantum Side Information.
    IEEE Transactions on Information Theory, Vol. 57 (pp 5524-5535)
  • Tong, X., Choenni, Rochelle, Lewis, M., Shutova, E. (2024) Metaphor Understanding Challenge Dataset for LLMs.
    ArXiv.
  • Tong, X., Shutova, E., Lewis, M. (2021) Recent advances in neural metaphor processing: A linguistic, cognitive and social perspective.
    In Toutanova, K. Rumshisky, A. Zettlemoyer, L. Hakkani-Tur, D. Beltagy, I. Bethard, S. Cotterell, R. Chakraborty, T. Zhou, Y. (Eds.), The 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL-HLT 2021 : proceedings of the conference : June 6-11, 2021 (pp 4673-4686). The Association for Computational Linguistics.
  • Torenvliet, L., Blok, P.I., Stuvel, S.A. (2008) Positiebepalingssysteem en gebouwbewakingssysteem en werkwijze voor positiebepaling en gebouwbewaking.
    Patent | UvA-DARE
  • Torenvliet, L., Buhrman, H. (1998) Splittings, Robustness and the Structure of complete sets.
    SIAM Journal on Computing, Vol. 2 (pp 637-653)
    Article | UvA-DARE
  • Torkzadeh mahani, N., Dehghani, M., Mirian, M.S., Shakery, A., Taheri, K. (2018) Expert finding by the Dempster‐Shafer theory for evidence combination.
    Expert Systems, Vol. 35
  • Törnberg, Anton, Törnberg, P. (2023) White supremacists anonymous: how digital media emotionally energize far-right movements.
    Journal of Information Technology & Politics
  • Törnberg, P., Valeeva, D., Uitermark, J., Bail, C. (2023) Simulating Social Media Using Large Language Models to Evaluate Alternative News Feed Algorithms.
    ArXiv.
  • Törnberg, P. (2023) ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning.
    ArXiv.
  • Törnberg, P. (2023) How to use Large Language Models for Text Analysis.
    SAGE Publications Ltd.
  • Törnberg, P. (2023) Interpreting Big Data: Tracing Meaning-Making Through 20 Years of White Power Discussions.
    SAGE Research Methods: Doing Research Online. SAGE Publications Ltd.
  • Trans, M., Beraldo, D., Draisci, L., Afsahi, L., Brennan, M., Goldschmitt, V., Grendarova, T., Hamilton, H., Keskin, M., Papasokratous, M., Rossetti, G., Webb, M., Williams, J., Xu, H. (2024) APIcalypse Now: Redefining data access regimes in the face of the Digital Services Act.
    Digital Methods Initiative.
  • Trautwein, M.H., Adriaans, P.W., Vervoort, M.R. (2000) Towards high speed grammar induction on large text corpora.
    Lecture Notes in Computer Science, Vol. 1963 (pp 173-186)
    Article | UvA-DARE

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