Yova Radoslavova Kementchedjhieva

Yova Radoslavova Kementchedjhieva

PhD fellow


Publication year:
  1. 2019
  2. Published

    Adversarial Removal of Demographic Attributes Revisited

    Barrett, Maria Jung, Kementchedjhieva, Yova Radoslavova, Elazar, Y., Elliott, Desmond & Søgaard, Anders, 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). Association for Computational Linguistics, p. 6329-6334 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    A Probabilistic Generative Model of Linguistic Typology

    Bjerva, Johannes, Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of NAACL-HLT 2019. Association for Computational Linguistics, p. 1529–1540

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages

    Vania, C., Kementchedjhieva, Yova Radoslavova, Søgaard, Anders & Lopez, A., 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). Association for Computational Linguistics, p. 1105-1116

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    Comparing UnsupervisedWord Translation Methods Step by Step

    lwp876, lwp876, Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). 11 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction

    Kementchedjhieva, Yova Radoslavova, lwp876, lwp876 & Søgaard, Anders, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing. Association for Computational Linguistics, p. 3336–3341

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    Uncovering Probabilistic Implications in Typological Knowledge Bases

    Bjerva, Johannes, Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 3924–3930

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. 2018
  9. Published

    A Discriminative Latent-Variable Model for Bilingual Lexicon Induction

    Ruder, S., Cotterell, R., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 458–468

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

    Kementchedjhieva, Yova Radoslavova, Bjerva, Johannes & Augenstein, Isabelle, 2018, Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, p. 93–98

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  11. Published

    Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction

    Kementchedjhieva, Yova Radoslavova, Ruder, S., Cotterell, R. & Søgaard, Anders, 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics, p. 211–220

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. Published

    Why is unsupervised alignment of English embeddings from different algorithms so hard?

    lwp876, lwp876, Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 582–586

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

ID: 186176572