| Dynamic data selection for neural machine translation M van der Wees, A Bisazza, C Monz Conference on Empirical Methods in Natural Language Processing, 2017 | 184 | 2017 |
| What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation M van der Wees, A Bisazza, W Weerkamp, C Monz 53rd Annual Meeting of the Association for Computational Linguistics, 2015 | 44 | 2015 |
| Understanding multi-head attention in abstractive summarization J Baan, M ter Hoeve, M van der Wees, A Schuth, M de Rijke arXiv preprint arXiv:1911.03898, 2019 | 29 | 2019 |
| Do transformer attention heads provide transparency in abstractive summarization? J Baan, M ter Hoeve, M van der Wees, A Schuth, M de Rijke arXiv preprint arXiv:1907.00570, 2019 | 27 | 2019 |
| A simple but effective approach to improve Arabizi-to-English statistical machine translation M van der Wees, A Bisazza, C Monz Workshop on Noisy User-generated Text, 2016 | 25 | 2016 |
| Evaluation of machine translation performance across multiple genres and languages M Van der Wees, A Bisazza, C Monz International Conference on Language Resources and Evaluation, 3822-3827, 2018 | 20 | 2018 |
| Measuring the effect of conversational aspects on machine translation quality M Van Der Wees, A Bisazza, C Monz The 26th International Conference on Computational Linguistics, 2571-2581, 2016 | 17 | 2016 |
| Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text M van der Wees, A Bisazza, C Monz ACL 2015 Workshop on Noisy User-generated Text, 28-37, 2015 | 17 | 2015 |
| Inferring modulators of genetic interactions with epistatic nested effects models M Pirkl, M Diekmann, M van der Wees, N Beerenwinkel, H Fröhlich, ... PLoS computational biology 13 (4), e1005496, 2017 | 15 | 2017 |
| Personalized push notifications for news recommendation B Loni, A Schuth, L van de Haas, J Jansze, V Visser, M Van der Wees 2nd Workshop on Online Recommender Systems and User Modeling, 36-45, 2019 | 8 | 2019 |
| What’s in a domain?: Towards fine-grained adaptation for machine translation ME van der Wees | 7 | 2017 |
| What’s in a domain ME van der Wees Towards fine-grained adaptation for machine translation.[Cited on pages 43 …, 2017 | 4 | 2017 |
| Translation model adaptation using genre-revealing text features M van der Wees, A Bisazza, C Monz Workshop on Discourse in Machine Translation, 2015 | 2 | 2015 |
| Epistatic Nested Effects Models Inferring mixed epistasis from indirect mea-surements of knock-out screens. M Pirkl, M Diekmann, M van der Wees, N Beerenwinkel, H Fröhlich, ... | | 2018 |
| Combinatorial Nested Effects Models M van der Wees VU University Amsterdam, 2013 | | 2013 |
| Cross-Species Alignment of Coexpression Networks M van der Wees Life Sciences, 2012 | | 2012 |
| Interpreting Multi-Head Attention in Abstractive Summarization J Baan, M ter Hoeve, M van der Wees, A Schuth, M de Rijke | | |
Arianna BisazzaAssociate Professor, University of GroningenVerified email at rug.nl
