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Marlies van der Wees
Marlies van der Wees
Machine Learning Engineer, Persgroep/De Volkskrant
Verified email at persgroep.nl - Homepage
Title
Cited by
Cited by
Year
Dynamic data selection for neural machine translation
M van der Wees, A Bisazza, C Monz
Conference on Empirical Methods in Natural Language Processing, 2017
1742017
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
382015
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
232019
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
222016
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
212019
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
172015
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
162018
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
162016
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
142017
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
82019
What¢s in a domain?: Towards fine-grained adaptation for machine translation
ME van der Wees
72017
Translation model adaptation using genre-revealing text features
M van der Wees, A Bisazza, C Monz
Workshop on Discourse in Machine Translation, 2015
22015
What¢s in a domain
M van der Wees
Towards fine-grained adaptation for machine translation.[Cited on pages 43 …, 2017
12017
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
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