Research output per year
Research output per year
Personal profile
Short presentation
My academic interest is how human cognitive processing can interact with and help natural language processing tasks. I have been working with eye tracking records, keystroke logs, and prosodic features.
Keywords
- Faculty of Humanities
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Dive into the research topics where Maria Jung Barrett is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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
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Hvordan kunstig intelligens bliver til læseog skriveteknologier
Klerke, S. & Barrett, M. J., 2019, In: Viden om Literacy. 2019, 26, p. 32-37Research output: Contribution to journal › Journal article › Research
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Improving natural language processing with human data: Eye tracking and other data sources reflecting cognitive text processing
Barrett, M., Oct 2018, Det Humanistiske Fakultet, Københavns Universitet. 171 p.Research output: Book/Report › Ph.D. thesis
387 Downloads (Pure) -
Predicting misreadings from gaze in children with reading difficulties
Bingel, J., Barrett, M. & Klerke, S., 2018, Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications,. Association for Computational Linguistics, p. 29-34Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Sequence classification with human attention
Barrett, M. J., Bingel, J., Hollenstein, N., Rei, M. & Søgaard, A., 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Korhonen , A. & Titov , I. (eds.). Association for Computational Linguistics, p. 302–312Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
22 Citations (Scopus)1 Downloads (Pure) -
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing
Barrett, M. J., Gonzalez, A. V., Frermann, L. & Søgaard, A., 2018, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Human Language Technologies, (Long Papers) . Cordeiro , S. R., Oraby, S., Pavalanathan, U. & Rim, K. (eds.). Association for Computational Linguistics, Vol. 1. p. 2028-2038 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Using naturalistic eye‐tracking data to understand children’s reading difficulties[Poster/Abstract}
Barrett, M. J., Bingel, J., Klerke, S. & Balling, L. W., 2018, In: Journal of Eye Movement Research. 11, 5, p. 32 1 p.Research output: Contribution to journal › Conference abstract in journal › Research
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Cross-lingual transfer of correlations between parts of speech and gaze features
Barrett, M. J., Keller, F. & Søgaard, A., 2016, The 26th International Conference on Computational Linguistics (COLING): proceedings of COLING 2016: technical papers. p. 1330-1339 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
8 Citations (Scopus)93 Downloads (Pure)