M. (Malvina) Nissim, Prof

Hoogleraar, Computationele Taalkunde en Maatschappij

Faculteit der Letteren

Telefoon:

050 36 36849

E-mail:

m.nissim rug.nl

Homepage Research Portal

Publicaties

Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?

Zotos, L., van Rijn, H. & Nissim, M., jan.-2025, Proceedings of the 31st International Conference on Computational Linguistics. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (uitgave). Abu Dhabi, UAE: Association for Computational Linguistics (ACL), blz. 11304-11316 13 blz. (Proceedings - International Conference on Computational Linguistics, COLING; vol. Part F206484-1).

Onderzoeksoutput › › peer review

AGALMA, the Ancient Greek Accessible Language Models for linguistic Analysis

Stopponi, S., den Ouden, M. (Ontwikkelaar), Peels-Matthey, S. (Overig) & Nissim, M. (Overig), 31-mei-2024

Onderzoeksoutput ›

AGREE: a new benchmark for the evaluation of distributional semantic models of ancient Greek

Stopponi, S., Peels-Matthey, S. & Nissim, M., apr.-2024, In: Digital Scholarship in the Humanities. 39, 1, blz. 373–392 20 blz.

Onderzoeksoutput: Article › › peer review

A Survey on Automatic Generation of Figurative Language: From Rule-based Systems to Large Language Models

Lai, H. & Nissim, M., 2024, In: ACM Computing Surveys. 56, 10, 34 blz., 244.

Onderzoeksoutput: Article › › peer review

Automatic Lemmatization of Ancient Greek inscriptions: a presentation of AGILe

Peels-Matthey, S., de Graaf, E., Stopponi, S., Bos, J. & Nissim, M., jul.-2024, In: Journal of Epigraphic Studies. 7, blz. 29-50 22 blz.

Onderzoeksoutput: Article › › peer review

Combining the strengths of Dutch survey and register data in a data challenge to predict fertility (PreFer)

Sivak, E., Pankowska, P., Mendrik, A., Emery, T., Garcia-Bernardo, J., Höcük, S., Karpinska, K., Maineri, A., Mulder, J., Nissim, M. & Stulp, G., okt.-2024, In: Journal of Computational Social Science. 7, blz. 1403-1431 29 blz.

Onderzoeksoutput: Article › › peer review

Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit

Sarti, G., Feldhus, N., Qi, J., Nissim, M. & Bisazza, A., 2024, xAI-2024 Late-breaking Work, Demos and Doctoral Consortium Joint Proceedings. Longo, L., Liu, W. & Montavon, G. (uitgave). CEUR Workshop Proceedings (CEUR-WS.org), blz. 289-296 8 blz. (CEUR Workshop Proceedings; vol. 3793).

Onderzoeksoutput › › peer review

Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models

Occhipinti, D., Marchi, M., Mondella, I., Lai, H., Dell'Orletta, F., Nissim, M. & Guerini, M., 2024, Findings of the Association for Computational Linguistics ACL 2024. Ku, L.-W., Martins, A. & Srikumar, V. (uitgave). Association for Computational Linguistics, ACL Anthology, blz. 11892-11907 16 blz. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Onderzoeksoutput › › peer review

IT5: Text-to-text Pretraining for Italian Language Understanding and Generation

Sarti, G. & Nissim, M., 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (uitgave). European Language Resources Association (ELRA), blz. 9422-9433 12 blz.

Onderzoeksoutput › › peer review