Dr. L.M. (Lisa) Beinborn

I am a PostDoc in the Cognition, Language and Computation Lab. Find out more about me at https://beinborn.eu/

Faculty of Science

ILLC

Visiting address

Science Park 107

Postal address

Postbus 94242
1090 GE Amsterdam

Contact details

l.m.beinborn@uva.nl

Social media

More about me.

Publications
2020

Takmaz, E., Pezzelle, S., Beinborn, L., & Fernández, R. (2020). Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze. In B. Webber, T. Cohn, Y. He, & Y. Liu (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp. 4664–4677). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.377 [details]
Download

2019

Abnar, S., Beinborn, L., Choenni, R., & Zuidema, W. (2019). Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. In T. Linzen, G. Chrupała, Y. Belinkov, & D. Hupkes (Eds.), The BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP at ACL 2019: ACL 2019 : proceedings of the Second Workshop : August 1, 2019, Florence, Italy (pp. 191-203). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4820 [details]
Download

Beinborn, L. M., Abnar, S., & Choenni, R. (in press). Robust Evaluation of Language-Brain Encoding Experiments. International Journal of Computational Linguistics and Applications. https://arxiv.org/abs/1904.02547

2018

Beinborn, L., Botschen, T., & Gurevych, I. (2018). Multimodal Grounding for Language Processing. In E. M. Bender, L. Derczynski, & P. Isabelle (Eds.), The 27th International Conference on Computational Linguistics: COLING 2018 : proceedings of the conference : August 20-26, 2018, Santa Fe, New Mexico, USA (pp. 2325-2339). Association for Computational Linguistics. http://aclweb.org/anthology/C18-1197 [details]
Download

2016

Beinborn, L., Zesch, T., & Gurevych, I. (2016). Predicting the Spelling Difficulty of Words for Language Learners. In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications held in conjunction with NAACL (pp. 73-83)

Santos, P. B., Beinborn, L., & Gurevych, I. (2016). A domain-agnostic approach for opinion prediction on speech. In Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES) (pp. 163-172). The COLING 2016 Organizing Committee. https://www.aclweb.org/anthology/W16-4318/

2015

Beinborn, L., Zesch, T., & Gurevych, I. (2015). Candidate Evaluation Strategies for Improved Difficulty Prediction of Language Tests. In Proceedings of the 10th Workshop on Innovative Use of NLP for Building Educational Applications held in conjunction with NAACL

2014

Beinborn, L., Zesch, T., & Gurevych, I. (2014). Predicting the difficulty of language proficiency tests. Transactions of the Association of Computational Linguistics, 2(1), 517-529. https://www.transacl.org/ojs/index.php/tacl/article/view/414/88

Beinborn, L., Zesch, T., & Gurevych, I. (2014). Readability for foreign language learning: The importance of cognates. ITL : International Journal of Applied Linguistics, 165(2), 136-162.

2013

Beinborn, L., Zesch, T., & Gurevych, I. (2013). Cognate production using character-based machine translation. In Proceedings of the Sixth International Joint Conference on Natural Language Processing (pp. 883-891)

2012

Beinborn, L., Zesch, T., & Gurevych, I. (2012). Towards fine-grained readability measures for self-directed language learning. In Proceedings of the SLTC 2012 workshop on NLP for CALL; Lund; 25th October; 2012 (pp. 11-19)
2014

Beinborn, L. (2014). Multilingual corpora and multilingual corpus analyses. International Journal of Multilingualism, 11(2), 266-268.

2010

Beinborn, L. (2010). Post-editing of statistical maschine translation: A crosslinguistic analysis of the temporal, technical and cognitive effort.
2018

Repplinger, M., Beinborn, L. M., & Zuidema, W. H. (2018). Vector-space models of words and sentences. Nieuw Archief voor Wiskunde, 19(3). http://www.nieuwarchief.nl/serie5/pdf/naw5-2018-19-3-167.pdf
2019

Choenni, R., Hendrikx, E., & Beinborn, L. M. (2019). On the Evaluation of Structural Similarity between Brain and Computational Models. Poster session presented at Crossing the Boundaries: Language in Interaction, Nijnmegen.
Talk / presentation

Beinborn, L. (speaker) (9-4-2019). Robust Evaluation of Language-Brain Encoding Experiments, CICLing 2019, La Rochelle.

Beinborn, L. (speaker) (12-12-2018). Introduction to Artificial Intelligence, Proefstudeercollege 2018.

Beinborn, L. (speaker) (11-12-2018). Bridging computational models with cognitive data for language processing, Computational Linguistics Seminar, Amsterdam.

Beinborn, L. (speaker) (7-11-2018). Cognitively inspired Language Processing, Student Event at ILLC.

Beinborn, L. (speaker) (16-10-2018). Cognitively Plausible Language Processing, InterQuest Event.

Others

Beinborn, L. (participant) (31-10-2018). EMNLP Workshop BlackboxNLP (participating in a conference, workshop, ...).
2016

Beinborn, L. (2016). Predicting and Manipulating the Difficulty of Text-Completion Exercises for Language Learning.
2019

Beinborn, L. M., & Choenni, R. (2019). Semantic Drift in Multilingual Representations.
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
Ancillary activities

edit contact information edit profile page

Dr. L.M. (Lisa) Beinborn

Cookie Consent