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Personal profile

Current courses

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Education/Academic qualification

Computer science, PhD, Dublin City University

1 Oct 20151 Sep 2019

Computer science, Master’s Degree, KU Leuven

1 Sep 20131 Aug 2014

Linguistics and theory of literature, Master’s Degree, KU Leuven

1 Sep 20121 Aug 2013

Linguistics and theory of literature, Bachelor’s Degree, KU Leuven

1 Sep 20091 Jul 2012

Keywords

  • NLP
  • Machine Translation
  • Linguistics
  • Computational Linguistics
  • Gender Bias
  • Algorithmic Bias

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Research Output

Getting gender right in neural machine translation

Vanmassenhove, E., Hardmeier, C. & Way, A., 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Association for Computational Linguistics, p. 3003-3008 6 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  • Getting gender right in neural machine translation

    Vanmassenhove, E., Hardmeier, C. & Way, A., 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    11 Citations (Scopus)

    Getting gender right in neural machine translation

    Vanmassenhove, E., Hardmeier, C. & Way, A., 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 3003-3008 6 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • 11 Citations (Scopus)

    On the Integration of Linguistic Features into Statistical and Neural Machine Translation

    Vanmassenhove, E., 31 Mar 2020, In : /.

    Research output: Contribution to journalArticleScientificpeer-review

    File
  • ABI neural ensemble model for gender prediction adapt Bar-ilan submission for the Clin29 shared task on gender prediction

    Vanmassenhove, E., Moryossef, A., Poncelas, A., Way, A. & Shterionov, D., 2019, CEUR Workshop Proceedings.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review