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Maria Barrett

I am a post doc working at the IT University of Copenhagen, Denmark. I work at the intersection of human, behavioral data and NLP.

Email mria.barrett [at] gmail.com

Ongoing projects

Named entity recognition for Danish

code base and annotated corpus

Co-reference resolution and entity linking for Danish

Coreference models

Ongoing or recent (co-)supervison

EEG for named entity recognition

MA project by Lukas Mutthenthaler

Fake news detection

PhD project by Terne Sasha Thorn

Part-of-speech tagging using grammatical errors

MA thesis by Shuting Huang

Identification of public-private persons from text

MA project by Hieu Lam and Martin Wu

Grants and awards

Villum International Postdoc 2020

Three years post doc funding at the IT-University of Copenhagen starting July 2020 with the project Modelling relations in text using human data.

Villum press release

2019 ELLIS PhD award

ELLIS press release

CoNLL 2018 Special best paper award

"Sequence classification with human attention."

2018 Facebook Global Literacy Challenge

With Anders Søgaard

Papers

2021

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)

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).

Recent Work Experience

2020 - Present

Post doc

IT University of Copenhagen

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