Ekaterina Vylomova
Title
Cited by
Cited by
Year
Incorporating structural alignment biases into an attentional neural translation model
T Cohn, CDV Hoang, E Vymolova, K Yao, C Dyer, G Haffari
arXiv preprint arXiv:1601.01085, 2016
1622016
CoNLL-SIGMORPHON 2017 shared task: Universal morphological reinflection in 52 languages
R Cotterell, C Kirov, J Sylak-Glassman, G Walther, E Vylomova, P Xia, ...
arXiv preprint arXiv:1706.09031, 2017
1612017
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
E Vylomova, L Rimell, T Cohn, T Baldwin
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
1222016
The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
MH Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther ...
arXiv preprint arXiv:1810.07125, 2018
982018
UniMorph 2.0: universal morphology
C Kirov, R Cotterell, J Sylak-Glassman, G Walther, E Vylomova, P Xia, ...
arXiv preprint arXiv:1810.11101, 2018
902018
Depth-Gated LSTM
K Yao, T Cohn, E Vylomova, K Duh, C Dyer
Content presented in 2015 Jelinek Summer Workshop on Speech and Language …, 2015
852015
Depth-gated recurrent neural networks
K Yao, T Cohn, K Vylomova, K Duh, C Dyer
arXiv preprint arXiv:1508.03790 9, 2015
662015
The SIGMORPHON 2019 shared task: Morphological analysis in context and cross-lingual transfer for inflection
AD McCarthy, E Vylomova, S Wu, C Malaviya, L Wolf-Sonkin, G Nicolai, ...
arXiv preprint arXiv:1910.11493, 2019
642019
Word representation models for morphologically rich languages in neural machine translation
E Vylomova, T Cohn, X He, G Haffari
arXiv preprint arXiv:1606.04217, 2016
432016
SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection
E Vylomova, J White, E Salesky, SJ Mielke, S Wu, E Ponti, RH Maudslay, ...
arXiv preprint arXiv:2006.11572, 2020
342020
Classifying idiomatic and literal expressions using topic models and intensity of emotions
J Peng, A Feldman, E Vylomova
arXiv preprint arXiv:1802.09961, 2018
312018
Weird inflects but OK: Making sense of morphological generation errors
K Gorman, AD McCarthy, R Cotterell, E Vylomova, M Silfverberg, ...
CoNLL 2019-23rd Conference on Computational Natural Language Learning …, 2019
212019
Paradigm completion for derivational morphology
R Cotterell, E Vylomova, H Khayrallah, C Kirov, D Yarowsky
arXiv preprint arXiv:1708.09151, 2017
212017
UniMorph 3.0: Universal Morphology
AD McCarthy, C Kirov, M Grella, A Nidhi, P Xia, K Gorman, E Vylomova, ...
European Language Resources Association (ELRA), 2020
202020
Evaluation of semantic change of harm-related concepts in psychology
E Vylomova, S Murphy, N Haslam
Proceedings of the 1st International Workshop on Computational Approaches to …, 2019
152019
Harm inflation: Making sense of concept creep
N Haslam, BC Dakin, F Fabiano, MJ McGrath, J Rhee, E Vylomova, ...
European Review of Social Psychology 31 (1), 254-286, 2020
112020
The SIGMORPHON 2019 shared task: Crosslinguality and context in morphology
AD McCarthy, E Vylomova, S Wu, C Malaviya, L Wolf-Sonkin, G Nicolai, ...
Proceedings of the 16th SIGMORPHON Workshop on Computational Research in …, 2019
112019
Sigtyp 2020 Shared task: Prediction of typological features
J Bjerva, E Salesky, SJ Mielke, A Chaudhary, GGA Celano, EM Ponti, ...
arXiv preprint arXiv:2010.08246, 2020
92020
Context-aware prediction of derivational word-forms
E Vylomova, R Cotterell, T Baldwin, T Cohn
arXiv preprint arXiv:1702.06675, 2017
92017
Contextualization of morphological inflection
E Vylomova, R Cotterell, T Baldwin, T Cohn, J Eisner
arXiv preprint arXiv:1905.01420, 2019
42019
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