Sebastian Schuster

Portrait of Sebastian Schuster

Assistant Professor

Faculty of Computer Science
University of Vienna

Kolingasse 14-16
1090 Wien
Austria

Publications

Gaurav Kamath, Sebastian Schuster, Sowmya Vajjala, and Siva Reddy. Scope Ambiguities in Large Language Models. In Transactions of the Association for Computational Linguistics (TACL).

Najoung Kim* and Sebastian Schuster*. Entity Tracking in Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). [Area Chair Award, data and code]
Jennifer Hu, Roger Levy, Judith Degen, and Sebastian Schuster. Expectations over Unspoken Alternatives Predict Pragmatic Inferences. In Transactions of the Association for Computational Linguistics (TACL). [data and code]
Sebastian Schuster, Alexandra Mayn, and Vera Demberg. Working memory updating modulates adaptation to speaker-specific use of uncertainty expressions. In Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023). [data and analyses]

Sebastian Schuster and Tal Linzen. When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it. In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022). [data and code]
Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, and Sebastian Schuster. Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. In Findings of the Association for Computational Linguistics (ACL 2022). [code]
Soo-Hwan Lee and Sebastian Schuster. Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions. In Proceedings of the Society for Computation in Linguistics: Vol. 5 (SCiL 2022).

Alicia Parrish,* Sebastian Schuster,* Alex Warstadt,* Omar Agha, Soo-Hwan Lee, Zhuoye Zhao, Samuel R. Bowman and Tal Linzen. NOPE: A Corpus of Naturally-Occurring Presuppositions in English. In Proceedings of the 25th Conference on Computational Natural Language Learning (CoNLL 2021). [data and code]
Elissa Li, Sebastian Schuster, and Judith Degen. Predicting Scalar Inferences From "Or" to "Not Both" Using Neural Sentence Encoders. In Proceedings of the Society for Computation in Linguistics: Vol. 4 (SCiL 2021).

Sebastian Schuster,* Yuxing Chen,* and Judith Degen. Harnessing the linguistic signal in predicting pragmatic inferences. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). [code]
Sebastian Schuster and Judith Degen. I know what you're probably going to say: Listener adaptation to variable use of uncertainty expressions. In Cognition. [preprint, data and models]
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, Daniel Zeman. Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. In Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020). [website]

Sebastian Schuster and Judith Degen. Speaker-specific adaptation to variable use of uncertainty expressions. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019). [data]
Sebastian Schuster, Sonal Gupta, Rushin Shah, and Mike Lewis. Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog. In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2019). [data]

Joakim Nivre, Paola Marongiu, Filip Ginter, Jenna Kanerva, Simonetta Montemagni, Sebastian Schuster, and Maria Simi. Enhancing Universal Dependency Treebanks: A Case Study. In Proceedings of the Second Workshop on Universal Dependencies (UDW 2018).
Sebastian Schuster, Joakim Nivre, and Christopher D. Manning. Sentences with Gapping: Parsing and Reconstructing Elided Predicates. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2018). [code and data]

Sebastian Schuster, Éric Villemonte de la Clergerie, Marie Candito, Benoît Sagot, Christopher D. Manning, and Djamé Seddah. Paris and Stanford at EPE 2017: Downstream Evaluation of Graph-based Dependency Representations. In Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation (EPE 2017).
Sebastian Schuster, Matthew Lamm, and Christopher D. Manning. Gapping Constructions in Universal Dependencies v2. In Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017).

Sebastian Schuster and Christopher D. Manning. Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). [code]

Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei, and Christopher D. Manning. Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval. In Proceedings of the Fourth Workshop on Vision and Language (VL15). [code]

Sebastian Schuster, Stephanie Pancoast, Milind Ganjoo, Michael C. Frank, and Dan Jurafsky. Speaker-Independent Detection of Child-Directed Speech. In Proceedings of the 2014 IEEE Spoken Language Technology Workshop (SLT 2014).
Spence Green, Sida Wang, Jason Chuang, Jeffrey Heer, Sebastian Schuster, and Christopher D. Manning. Human Effort and Machine Learnability in Computer Aided Translation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014).
Julia Neidert, Sebastian Schuster, Spence Green, Kenneth Heafield, and Christopher D. Manning. Stanford University's Submissions to the WMT 2014 Shared Task. In Proceedings of the Ninth Workshop On Statistical Machine Translation (WMT 2014).