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pro vyhledávání: '"Daniel Varab"'
Autor:
Daniel Varab, Natalie Schluter
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a83b3c3ba5971faccf447a57c4ae446
https://doi.org/10.18653/v1/2021.emnlp-main.797
https://doi.org/10.18653/v1/2021.emnlp-main.797
Autor:
Leon Strømberg-Derczynski, Rebekah Brita Baglini, Christiansen, Morten H., Manuel Ciosici, Jacob Aarup Dalsgaard, Riccardo Fusaroli, Peter Juel Henrichsen, Rasmus Hvingelby, Andreas Kirkedal, Alex Speed Kjeldsen, Claus Ladefoged, Finn Årup Nielsen, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab
Publikováno v:
Aarhus University
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a focused effort to provide a diverse and freely-available one billion wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::843306f49ac73485100cc9034fdca87e
Autor:
Daniel Varab, Natalie Schluter
Publikováno v:
Schluter, N & Varab, D 2018, When data permutations are pathological: the case of neural natural language inference . in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, pp. 4935–4939 . < http://aclweb.org/anthology/D18-1534 >
EMNLP
EMNLP
Consider two competitive machine learning models, one of which was considered state-of-the art, and the other a competitive baseline. Suppose that by just permuting the examples of the training set, say by reversing the original order, by shuffling,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc57306ff9477d139f9564119b624fe5
https://pure.itu.dk/ws/files/83851876/D18_1534.pdf
https://pure.itu.dk/ws/files/83851876/D18_1534.pdf