Yova Kementchedjhieva
Yova Kementchedjhieva
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Cited by
Cited by
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
C Vania, Y Kementchedjhieva, A Søgaard, A Lopez
arXiv preprint arXiv:1909.02857, 2019
Generalizing procrustes analysis for better bilingual dictionary induction
Y Kementchedjhieva, S Ruder, R Cotterell, A Søgaard
arXiv preprint arXiv:1809.00064, 2018
Between California and the Pacific Northwest: The front lax vowels in San Francisco english
A Cardoso, L Hall-Lew, Y Kementchedjhieva, R Purse
American Speech: A Quarterly of Linguistic Usage 91 (Supplement (101) 1), 33-54, 2017
Adversarial removal of demographic attributes revisited
M Barrett, Y Kementchedjhieva, Y Elazar, D Elliott, A Søgaard
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
A discriminative latent-variable model for bilingual lexicon induction
S Ruder, R Cotterell, Y Kementchedjhieva, A Søgaard
arXiv preprint arXiv:1808.09334, 2018
Lost in evaluation: Misleading benchmarks for bilingual dictionary induction
Y Kementchedjhieva, M Hartmann, A Søgaard
arXiv preprint arXiv:1909.05708, 2019
How does grammatical gender affect noun representations in gender-marking languages?
H Gonen, Y Kementchedjhieva, Y Goldberg
arXiv preprint arXiv:1910.14161, 2019
San Francisco English and the California Vowel Shift
L Hall-Lew, A Cardoso, Y Kemenchedjieva, R Purse
American Speech 91, 33-54, 2016
A probabilistic generative model of linguistic typology
J Bjerva, Y Kementchedjhieva, R Cotterell, I Augenstein
arXiv preprint arXiv:1903.10950, 2019
Comparing unsupervised word translation methods step by step
M Hartmann, Y Kementchedjhieva, A Søgaard
Advances in Neural Information Processing Systems 32, 2019
Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding
Y Kementchedjhieva, J Bjerva, I Augenstein
arXiv preprint arXiv:1809.01541, 2018
Why is unsupervised alignment of English embeddings from different algorithms so hard?
M Hartmann, Y Kementchedjhieva, A Søgaard
arXiv preprint arXiv:1809.00150, 2018
Indicatements that character language models learn English morpho-syntactic units and regularities
Y Kementchedjhieva, A Lopez
arXiv preprint arXiv:1809.00066, 2018
Code-switching as strategically employed in political discourse
Y Kementchedjhieva
Lifespans & Styles: Undergraduate Working Papers on Intraspeaker Variation 2 …, 2016
Uncovering probabilistic implications in typological knowledge bases
J Bjerva, Y Kementchedjhieva, R Cotterell, I Augenstein
arXiv preprint arXiv:1906.07389, 2019
PuzzLing machines: A challenge on learning from small data
GG Şahin, Y Kementchedjhieva, P Rust, I Gurevych
arXiv preprint arXiv:2004.13161, 2020
John praised Mary because he? Implicit causality bias and its interaction with explicit cues in LMs
Y Kementchedjhieva, M Anderson, A Søgaard
arXiv preprint arXiv:2106.01060, 2021
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs
M Hartmann, M de Lhoneux, D Hershcovich, Y Kementchedjhieva, ...
Proceedings of the 25th Conference on Computational Natural Language …, 2021
Dynamic Forecasting of Conversation Derailment
Y Kementchedjhieva, A Søgaard
arXiv preprint arXiv:2110.05111, 2021
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation
Y Kementchedjhieva, D Lu, J Tetreault
Proceedings of the 28th International Conference on Computational …, 2020
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