Yova Radoslavova Kementchedjhieva

Research output

Research output per year 2018 2018 2019

• 5 Article in proceedings

Research output per year

Research output per year

Search results

• 2019

  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
• 2018

  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. 458–468

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Bilingual Lexicon Induction 100%
  • Latent Variable Model 100%
  • Hubness Problem 33%

• 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. 93–98

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Training Model 100%
  • Multitask Learning 100%
  • Learning Approach 100%
  • Inflected Words 50%
  • Context Window 50%
  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. 211–220

  Research 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. 582–586

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review