Yova Radoslavova Kementchedjhieva

Yova Radoslavova Kementchedjhieva

Postdoc


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  1. 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 proceeding › Article in proceedings › Research › peer-review

  2. Published

    PuzzLing Machines: A Challenge on Learning From Small Data

    Sahin, G. G., Kementchedjhieva, Yova Radoslavova, Rust, P. & Gurevych, I., 2020, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 1241-1254

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

  3. Published

    A Discriminative Latent-Variable Model for Bilingual Lexicon Induction

    Ruder, S., Cotterell, R., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2020, 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

  4. Published

    Smallcap: Lightweight Image Captioning Prompted with Retrieval Augmentation

    Ramos, R., Martins, B., Elliott, Desmond & Kementchedjhieva, Yova Radoslavova, 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 2840-2849 10 p.

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

  5. Published

    Implications of the Convergence of Language and Vision Model Geometries

    Li, Jiaang, Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2023, arXiv.org, 19 p.

    Research output: Working paper › Preprint

  6. Published

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

    Kementchedjhieva, Yova Radoslavova, Bjerva, J. & 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 proceeding › Article in proceedings › Research › peer-review

  7. 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 proceeding › Article in proceedings › Research › peer-review

  8. Published

    Dynamic Forecasting of Conversation Derailment

    Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 7915–7919

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

  9. Published

    Methods, Evalutations and Resources for Multilingual Transfer Learning

    Kementchedjhieva, Yova Radoslavova, 2021, Department of Computer Science, Faculty of Science, University of Copenhagen. 145 p.

    Research output: Book/Report › Ph.D. thesis › Research

  10. Published

    Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction

    Kementchedjhieva, Yova Radoslavova, lwp876, L. & 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 proceeding › Article in proceedings › Research › peer-review

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