Yova Radoslavova Kementchedjhieva
Postdoc
Natural Language Processing
Universitetsparken 1, 2100 København Ø
- 2020
- 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. 1241-1254Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2019
- Published
Adversarial Removal of Demographic Attributes Revisited
Barrett, M., 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 proceeding › Article in proceedings › Research › peer-review
- Published
A Probabilistic Generative Model of Linguistic Typology
Bjerva, J., Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of NAACL-HLT 2019. Association for Computational Linguistics, p. 1529–1540Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 1105-1116Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Comparing Unsupervised Word Translation Methods Step by Step
Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 3336–3341Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Uncovering Probabilistic Implications in Typological Knowledge Bases
Bjerva, J., 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. 3924–3930Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2018
- 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. 93–98Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 211–220Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Why is unsupervised alignment of English embeddings from different algorithms so hard?
Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 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
ID: 186176572
Most downloads
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83
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A Probabilistic Generative Model of Linguistic Typology
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
77
downloads
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
73
downloads
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published