Sebastian Schuster
Orcid: 0000-0002-8066-0142Affiliations:
- University of Vienna, Faculty of Computer Science, Vienna, Austria
- University College London, Division of Psychology and Language Sciences, London, UK
- Saarland University, Department of Language Science and Technology, Saarbrücken, Germany (former)
- New York University (NYU), Center for Data Science, New York City, NY, USA (former)
- Stanford University, Center for the Study of Language and Information, Stanford, CA, USA (former, PhD 2020)
According to our database1,
Sebastian Schuster authored at least 31 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on twitter.com
-
on sebschu.com
-
on orcid.org
On csauthors.net:
Bibliography
2026
CoRR, March, 2026
2025
CoRR, June, 2025
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
2024
SpreadNaLa: A Naturalistic Code Generation Evaluation Dataset of Spreadsheet Formulas.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Trans. Mach. Learn. Res., 2023
Trans. Assoc. Comput. Linguistics, 2023
Working memory updating modulates adaptation to speaker-specific use of uncertainty expressions.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021
2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
CoRR, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the Second Workshop on Universal Dependencies, 2018
2017
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies.
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2017
Proceedings of the NoDaLiDa Workshop on Universal Dependencies, 2017
2016
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016
2015
Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval.
Proceedings of the Fourth Workshop on Vision and Language, 2015
2014
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014