G. (Gabriele) Sarti, MSc

Promovendus in computationele taalkunde

Telefoon:

E-mail:

g.sarti rug.nl

Research interests

My research interests focus on interpretability for NLP models, in particular to the benefit of end-users and by leveraging human behavioral signals. I am also passionate about social applications of machine learning, ethical AI, and open source collaboration.

My PhD project, conducted under the supervision of Arianna Bisazza and Malvina Nissim, aims to empower users of neural machine translation systems by developing interpretable and interactive tools for more efficient professional post-editing.

Publicaties

Contrastive Language-Image Pre-training for the Italian Language

Bianchi, F., Attanasio, G., Pisoni, R., Terragni, S., Sarti, G. & Balestri, D., 2023, Proceedings of the 9th Italian Conference on Computational Linguistics. Boschetti, F., Lebani, G. E., Magnini, B. & Novielli, N. (redactie). CEUR Workshop Proceedings (CEUR-WS.org), 8 blz. (CEUR Workshop Proceedings; vol. 3596).

Onderzoeksoutput › › peer review

DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers

Langedijk, A., Mohebbi, H., Sarti, G., Zuidema, W. & Jumelet, J., 5-okt.-2023, arXiv.

Onderzoeksoutput: Voordruk ›

Inseq: An Interpretability Toolkit for Sequence Generation Models

Sarti, G., Feldhus, N., Sickert, L., Wal, O. V. D., Nissim, M. & Bisazza, A., 27-feb.-2023, arXiv.

Onderzoeksoutput: Voordruk ›

Inseq: An Interpretability Toolkit for Sequence Generation Models

Sarti, G., Feldhus, N., Sickert, L., Wal, O. V. D., Nissim, M. & Bisazza, A., jul.-2023, blz. 421-435. 14 blz.

Onderzoeksoutput ›

Quantifying the Plausibility of Context Reliance in Neural Machine Translation

Sarti, G., Chrupała, G., Nissim, M. & Bisazza, A., 2-okt.-2023, arXiv.

Onderzoeksoutput: Voordruk ›

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation

Sarti, G., Htut, P. M., Niu, X., Hsu, B., Currey, A., Dinu, G. & Nadejde, M., jul.-2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Rogers, A., Boyd-Graber, J. & Okazaki, N. (redactie). Toronto, ON, CA: Association for Computational Linguistics (ACL), Vol. 2. blz. 1476-1490 14 blz.

Onderzoeksoutput › › peer review

DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages

Sarti, G., Bisazza, A., Guerberof, A. & Toral Ruiz, A., dec.-2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Goldberg, Y., Kozareva, Z. & Zhang, Y. (redactie). Abu Dhabi, United Arab Emirates: Association for Computational Linguistics (ACL), blz. 7795-7816 22 blz.

Onderzoeksoutput › › peer review

InDeep × NMT: Empowering Human Translators via Interpretable Neural Machine Translation

Sarti, G. & Bisazza, A., jun.-2022, Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. Moniz, H., Macken, L., Rufener, A., Barrault, L., Costa-jussà, M. R., Declercq, C., Koponen, M., Kemp, E., Pilos, S., Forcada, M. L., Scarton, C., van den Bogaert, J., Daems, J., Tezcan, A., Vanroy, B. & Fonteyne, M. (redactie). European Association for Machine Translation, blz. 313-314 2 blz.

Onderzoeksoutput › › peer review

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

Sarti, G. & Nissim, M., 9-mrt.-2022, (Submitted) arXiv, (ArXiv).

Onderzoeksoutput: Voordruk ›

Probing Linguistic Knowledge in Italian Neural Language Models across Language Varieties

Miaschi, A., Sarti, G., Brunato, D., Dell’Orletta, F. & Venturi, G., jul.-2022, In: Italilan Journal of Computational Linguistics. 8, 1, blz. 25-44 20 blz., 2.

Onderzoeksoutput › › peer review

Lees meer

Alle (18) publicaties

Pers/media

The AI that explains images in Italian

Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti & Sri Lakshimi

13/09/2021

Pers / media: Onderzoek ›

CLIP-Italian: A new AI model to connect images and texts in Italian

Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti & Sri Lakshimi

26/08/2021

Pers / media: Onderzoek ›

Alle (2) pers/media

Bekijk volledig onderzoeksprofiel