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 | 37 | 2019 |
Generalizing procrustes analysis for better bilingual dictionary induction Y Kementchedjhieva, S Ruder, R Cotterell, A Søgaard arXiv preprint arXiv:1809.00064, 2018 | 34 | 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 | 32 | 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 | 29 | 2019 |
A discriminative latent-variable model for bilingual lexicon induction S Ruder, R Cotterell, Y Kementchedjhieva, A Søgaard arXiv preprint arXiv:1808.09334, 2018 | 24 | 2018 |
Lost in evaluation: Misleading benchmarks for bilingual dictionary induction Y Kementchedjhieva, M Hartmann, A Søgaard arXiv preprint arXiv:1909.05708, 2019 | 21 | 2019 |
How does grammatical gender affect noun representations in gender-marking languages? H Gonen, Y Kementchedjhieva, Y Goldberg arXiv preprint arXiv:1910.14161, 2019 | 19 | 2019 |
San Francisco English and the California Vowel Shift L Hall-Lew, A Cardoso, Y Kemenchedjieva, R Purse American Speech 91, 33-54, 2016 | 17 | 2016 |
A probabilistic generative model of linguistic typology J Bjerva, Y Kementchedjhieva, R Cotterell, I Augenstein arXiv preprint arXiv:1903.10950, 2019 | 16 | 2019 |
Comparing unsupervised word translation methods step by step M Hartmann, Y Kementchedjhieva, A Søgaard Advances in Neural Information Processing Systems 32, 2019 | 9 | 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 | 9 | 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 | 8 | 2018 |
Indicatements that character language models learn English morpho-syntactic units and regularities Y Kementchedjhieva, A Lopez arXiv preprint arXiv:1809.00066, 2018 | 8 | 2018 |
Code-switching as strategically employed in political discourse Y Kementchedjhieva Lifespans & Styles: Undergraduate Working Papers on Intraspeaker Variation 2 …, 2016 | 8 | 2016 |
Uncovering probabilistic implications in typological knowledge bases J Bjerva, Y Kementchedjhieva, R Cotterell, I Augenstein arXiv preprint arXiv:1906.07389, 2019 | 7 | 2019 |
PuzzLing machines: A challenge on learning from small data GG Şahin, Y Kementchedjhieva, P Rust, I Gurevych arXiv preprint arXiv:2004.13161, 2020 | 3 | 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 | 1 | 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 | | 2021 |
Dynamic Forecasting of Conversation Derailment Y Kementchedjhieva, A Søgaard arXiv preprint arXiv:2110.05111, 2021 | | 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 | | 2020 |