Search results
Results: 44
Number of items: 44
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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 -
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
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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
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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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Bloem, J. (2020). Een corpus waar alle constructies in gevonden zouden moeten kunnen worden? Corpusonderzoek met behulp van automatisch gegenereerde syntactische annotatie. Nederlandse Taalkunde, 25(1), 39-71. https://doi.org/10.5117/NEDTAA2020.1.003.BLOE
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Betti, A., Reynaert, M., Ossenkoppele, T., Oortwijn, Y., Salway, A., & Bloem, J. (2020). Expert Concept-Modeling Ground Truth Construction for Word Embeddings Evaluation in Concept-Focused Domains. In D. Scott, N. Bel, & C. Zong (Eds.), The 28th International Conference on Computational Linguistics: COLING 2020 : Proceedings of the Conference : December 8-13, 2020, Barcelona, Spain (Online) (pp. 6690-6702). International Committee on Computational Linguistics. https://doi.org/10.18653/v1/2020.coling-main.586
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Bleotu, A. C., & Bloem, J. (2020). The distinction between true and pseudo denominals? It’s an illusion! In M. Asatryan, Y. Song, & A. Whitmal (Eds.), NELS 50: proceedings of the Fiftieth Annual Meeting of the North East Linguistic Society: October 25-27, 2019, Massachusetts Institute of Technology (Vol. 1, pp. 39-48). Graduate Linguistics Student Association, Department of Linguistics, University of Massachusetts.
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Bloem, J., Versloot, A., & Weerman, F. (2019). Modeling a Historical Variety of a Low-Resource Language: Language Contact Effects in the Verbal Cluster of Early-Modern Frisian. In N. Tahmasebi, L. Borin, A. Jatowt, & Y. Xu (Eds.), The 1st International Workshop on Computational Approaches to Historical Language Change: ACL 2019 : proceedings of the workshop : August 2, 2019, Florence, Italy (pp. 265-271). Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4733
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Bloem, J., Fokkens, A., & Herbelot, A. (2019). Evaluating the Consistency of Word Embeddings from Small Data. In G. Angelova, R. Mitkov, I. Nikolova, & I. Temnikova (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. 132-141). INCOMA Ltd.. https://doi.org/10.26615/978-954-452-056-4_016
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