Research output per year
Research output per year
Fingerprint
Dive into the research topics where Yova Radoslavova Kementchedjhieva is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 9 Similar Profiles
Research output
- 5 Article in proceedings
-
Adversarial Removal of Demographic Attributes Revisited
Barrett, M., Kementchedjhieva, Y., Elazar, Y., Elliott, D. & Søgaard, A., 1 Nov 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Hong Kong, China: Association for Computational Linguistics (ACL), p. 6329-6334 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
-
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
Ruder, S., Cotterell, R., Kementchedjhieva, Y. R. & Søgaard, A., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 458–468Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
-
Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding
Kementchedjhieva, Y. R., Bjerva, J. & Augenstein, I., 2018, Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, p. 93–98Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
2 Citations (Scopus) -
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction
Kementchedjhieva, Y. R., Ruder, S., Cotterell, R. & Søgaard, A., 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics, p. 211–220Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
15 Citations (Scopus) -
Why is unsupervised alignment of English embeddings from different algorithms so hard?
Hartmann, M., Kementchedjhieva, Y. R. & Søgaard, A., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 582–586Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review