Maria Barrett
Modelling human cognition for NLPEmail mria.barrett [at] gmail.com
Grants and awards
Villum International Postdoc 2020
Three years post doc funding at the IT-University of Copenhagen starting July 2020 with the project
2019 ELLIS PhD award
CoNLL 2018 Special best paper award
2018 Facebook Global Literacy Challenge
With Anders Søgaard
Recent Work Experience
2020 - 2023
Senior data scientist
Silo AI
Denmark
2020 - 2023
Post doc
IT University of Copenhagen, research stay at INESC-ID, Lisbon, Portugal
Denmark
2018 - 2020
Post doc
University of Copenhagen in collaboration with the Alexandra Institute
Denmark
2014-2018
PhD
University of Copenhagen
Denmark
Title: Improving natural language processing with human data : Eye
tracking and other data sources reflecting cognitive text processing.
Supervisor: Prof., Dr.Phil., PhD Anders Søgaard
Research stay at the University of Edinburgh
Publications
2024
Barrett, M., Müller-Eberstein, M., Bassignana, E., Pauli, A. B., Zhang, M., & van der Goot, R. (Accepted/In press). Can Humans Identify Domains? In The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation European Language Resources Association (ELRA).2023
Skerath, L., Toborek, P., Zielińska, A., Barrett, M., & Van Der Goot, R. (2023, July). "Native Language Prediction from Gaze: a Reproducibility Study". In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) (pp. 152-159).
Seikavandi, M. J., & Barrett, M. J. (2023). "Gaze Reveals Emotion Perception: Insights from Modelling Naturalistic Face Viewing". In Proceedings of the 22nd International Conference on Machine Learning and Applications (ICMLA).
Björnsdóttir, M.; Hollenstein, N; Barrett, M "Dyslexia Prediction from Natural Reading of Danish Texts". In Proceedings of NoDaLiDa.
Hansen, K. K.; Barrett, M.; Müller-Eberstein, M.; Damgaard, C.; Eriksen, T. N.; van der Goot, R. "DanTok: Domain Beats Language for Danish Social Media POS Tagging". In Proceedings of NoDaLiDa.
2022
Jakobsen, T. S. T., Barrett, M. J., Søgaard, A., & Lassen, D. D. "The Sensitivity of Annotator Bias to Task Definitions in Argument Mining." In The Sixteenth Linguistic Annotation Workshop (LAW-XVI 2022), (pp. 44–61).
Hollenstein, N., Barrett, M. J., & Björnsdóttir, M. "The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts." In Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022) (pp. 1712-1720).
2021
Barrett, M.; Lam H. T.; Wu, M.; Lacroix, O.; Plank, B. \& Søgaard, A."Resources and Evaluations for Danish Entity Resolution." In Fourth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC).
Hollenstein, N.; Renggli, C.; Glaus, B.; Barrett, M.; Troendle, M.; Langer, N.; Zhang, C. "Decoding EEG brain activity for multi-modal natural language processing." In Frontiers in Human Neuroscience, 15.
Thorn, T.; Barrett, M.; Søgaard, A. "Spurious Correlations in Cross-Topic Argument Mining." In Proceedings of *SEM.
Pauli, A. B.; Barrett M.; Lacroix O.; Hvingelby, R., "DaNLP: An open-source toolkit for Danish Natural Language Processing." In Proceedings of NoDaLiDa.
2020
González, A. V.; Barrett, M.; Hvingelby, R.; Webster, K.; Søgaard, A. "Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias." In Proceedings of EMNLP (pp. 2637-2648).
Barrett, M.; Hollenstein, N. (2020) "Sequence labelling and classification with eye movements: Novel uses of eye-tracking data for natural language processing." In Language and Linguistics Compass.
Abdou, M.; Ravishankar, V.; Barrett M.; Belinkov, Y.; Elliott, D.; Søgaard, A. (2020) "The Sensitivity of Language Models and Humans to Winograd Schema Perturbations." In Proceedings of ACL.
Hvingelby, R.; Pauli, A. B.; Barrett, M.; Rosted, C.; Lidegaard, L. M.; Søgaard, A. (2020) "DaNE: A Named Entity Resource for Danish." In Proceedings of The 12th Language Resources and Evaluation Conference (pp. 4597-4604).
Hollenstein, N., Barrett, M., & Beinborn, L. "Towards best practices for leveraging human language processing signals for natural language processing." In Proceedings of the Second Workshop on Linguistic and Neurocognitive Resources (pp. 15-27).
2019
Barrett, M.; Kementchedjhieva, Y.; Elazar, Y.; Elliott, D.; Søgaard, A. (2019). "Adversarial Removal of Demographic Attributes Revisited." In EMNLP-IJCNLP (pp.6329–6334).
2018
Barrett, M.; Bingel, J.; Hollenstein, N.; Rei, M.; Søgaard, A. (2018). "Sequence classification with human attention." In The SIGNLL Conference on Computational Natural Language Learning (CoNLL) (pp. 302–312). Special best paper award
Bingel, J; Barrett, M.; Klerke, S. (2018). "Predicting misreadings from gaze in children with reading difficulties." In The 13th Workshop on Innovative Use of NLP for Building Educational Applications@NAACL (pp. 24–34).
Barrett, M.; Gonzalez-Garduño, A.; Frermann, L.& Søgaard, A. (2018). "Unsupervised induction of linguistic categories with records of reading, speaking, and writing." In The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) (pp. 2028–2038).
2016
Barrett, M.; Keller, F.& Søgaard, A. (2016). "Cross-lingual transfer of correlations between parts of speech and gaze features." In The 26th International Conference on Computational Linguistics (COLING): Proceedings of COLING 2016: technical papers (pp. 1330-1339).
Bingel, J.; Barrett, M.& Søgaard, A. (2016) "Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction". In ACL (pp. 747–755).
Barrett, M., Bingel, J., Keller, F., Søgaard, A. (2016) "Weakly supervised Part-of-Speech Induction from Eye-tracking Data". In ACL (pp. 579–584).
Barrett, M., Agíc, Z., and Søgaard, A. (2015) "The Dundee Treebank". In Treebanks and Linguistic Theories (TLT14) (pp. 242–248). [resource]
Barrett, M.,& Søgaard, A. (2015). "Using reading behavior to predict grammatical functions". In Proc. of Workshop on Cognitive Aspects of Computational Language Learning (CogACLL) @EMNLP(pp. 1–5).
2015
Klerke, S., Castilho, S., Barrett, M.,& Søgaard, A. (2015). "Reading metrics for estimating task efficiency with MT output". In Proc. of Workshop on Cognitive Aspects of Computational Language Learning (CogACLL) @EMNLP ( pp. 6–13).
Barrett, M.,& Søgaard, A. (2015). "Reading behavior predicts syntactic categories". In CoNLL 2015, (pp. 345–249).
2010
San Agustin, J., Skovsgaard, H., Møllenbach, E., Barrett, M., Tall, M., Hansen, D. W.,& Hansen, J. P. (2010). "Evaluation of a low-cost open-source gaze tracker". In Proceedings of the 2010 Symposium on Eye-Tracking Research& Applications (pp. 77-80). ACM
Barrett, M., Skovsgaard, H.,& San Agustin, J. (2009). "Performance evaluation of a Low-Cost gaze tracker for eye typing". In Proceedings of Conference on Communication by Gaze Interaction. Lyngby, Denmark: COGAIN (pp. 13-17).