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Results: 49
Number of items: 49
  • Open Access
    Lee, S., & Bloem, J. (2024). Impact of Task Adapting on Transformer Models for Targeted Sentiment Analysis in Croatian Headlines. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): main conference proceedings : 20-25 May, 2024, Torino, Italia (pp. 8662–8674). (COLING), (LREC). ELRA Language Resources Association. https://aclanthology.org/2024.lrec-main.760
  • Open Access
    Veenboer, T., & Bloem, J. (2023). Using Collostructional Analysis to evaluate BERT's representation of linguistic constructions. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), Findings of the Association for Computational Linguistics: ACL 2023: July 9-14, 2023 (pp. 12937–12951). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-acl.819
  • Open Access
    Lee, S., & Bloem, J. (2023). Comparing domain-specific and domain-general BERT variants for inferred real-world knowledge through rare grammatical features in Serbian. In J. Piskorski, M. Marcińczuk, P. Nakov, M. Ogrodniczuk, S. Pollak, P. Přibáň, P. Rybak, J. Steinberger, & R. Yangarber (Eds.), The 9th Workshop on Slavic Natural Language Processing 2023: EACL 2023 : proceedings of the workshop (SlavicNLP 2023) : May 6, 2023 (pp. 47-60). Association for Computational Linguistics. https://aclanthology.org/2023.bsnlp-1.7
  • Ginammi, A., Koopman, R., Wang, S., Bloem, J., & Betti, A. (2022). Bolzano, Kant and the Traditional Theory of Concepts: A Computational Investigation. In G. Ramsey, & A. De Block (Eds.), The Dynamics of Science: Computational Frontiers in History and Philosophy of Science (pp. 186-203). University of Pittsburgh Press. https://doi.org/10.2307/j.ctv31djr2f.14
  • Open Access
    van Boven, G., & Bloem, J. (2022). Domain-specific Evaluation of Word Embeddings for Philosophical Text using Direct Intrinsic Evaluation. In M. Hämäläinen, K. Alnajjar, N. Partanen, & J. Rueter (Eds.), The 2nd International Workshop on Natural Language Processing for Digital Humanities: proceedings of the workshop : NLP4DH 2021 : November 20, 2022 (pp. 101-107). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.nlp4dh-1.14
  • Open Access
    Oortwijn, Y., Bloem, J., Sommerauer, P., Meyer, F., Zhou, W., & Fokkens, A. (2021). Challenging Distributional Models with a Conceptual Network of Philosophical Terms. In K. Toutanova, A. Rumshisky, L. Zettlemoyer, D. Hakkani-Tur, I. Beltagy, S. Bethard, R. Cotterell, T. Chakraborty, & Y. Zhou (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. 2511-2522). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.199
  • Open Access
    van Boven, G., & Bloem, J. (2021). Eliciting explicit knowledge from domain experts in direct intrinsic evaluation of word embeddings for specialized domains. In A. Belz, S. Agarwal, Y. Graham, E. Reiter, & A. Shimorina (Eds.), Human Evaluation of NLP Systems (HumEval): EACL 2021 : proceedings of the workshop : April 19, 2021, Online (pp. 107-113). The Association for Computational Linguistics. https://aclanthology.org/2021.humeval-1.12
  • Open Access
    Bloem, J. (2021). Processing verb clusters. [Thesis, fully internal, Universiteit van Amsterdam]. LOT.
  • Open Access
    Bloem, J., Parisi, M. C., Reynaert, M., Oortwijn, Y., & Betti, A. (2020). Distributional Semantics for Neo-Latin. In R. Sprugnoli, & M. Passarotti (Eds.), 1st Workshop on Language Technologies for Historical and Ancient Languages, (LT4HALA 2020): Proceedings : LREC 2020 Workshop, Language Resources and Evaluation Conference, 11–16 May 2020 (pp. 84-93). European Language Resources Association (ELRA). https://www.aclweb.org/anthology/2020.lt4hala-1.13
  • Bloem, J., Parisi, M., Reynaert, M., Oortwijn, Y., & Betti, A. (2020, April 14). Neo-Latin word embeddings and preprocessed text [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.12126615.v1
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