Sebastian Schuster
Sebastian Schuster
Lecturer in Computational Linguistics, University College London
Potvrđena adresa e-pošte na - Početna stranica
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
D Zeman, and others
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw …, 2017
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
J Nivre, MC de Marneffe, F Ginter, J Hajič, CD Manning, S Pyysalo, ...
Proceedings of the Twelfth International Conference on Language Resources …, 2020
Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval
S Schuster, R Krishna, A Chang, L Fei-Fei, CD Manning
Proceedings of the Fourth Workshop on Vision and Language, 70-80, 2015
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks
S Schuster, CD Manning
Tenth International Conference on Language Resources and Evaluation (LREC 2016), 2016
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog
S Schuster, S Gupta, R Shah, M Lewis
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Universal Dependencies 2.0
J Nivre, et al., 2017
Human effort and machine learnability in computer aided translation
S Green, SI Wang, J Chuang, J Heer, S Schuster, CD Manning
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
I know what you're probably going to say: Listener adaptation to variable use of uncertainty expressions
S Schuster, J Degen
Cognition 203, 2020
Harnessing the linguistic signal to predict scalar inferences
S Schuster, Y Chen, J Degen
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
Coloring the blank slate: Pre-training imparts a hierarchical inductive bias to sequence-to-sequence models
A Mueller, R Frank, T Linzen, L Wang, S Schuster
arXiv preprint arXiv:2203.09397, 2022
HEATSTER: a database and web server for identification and classification of heat stress transcription factors in plants
J Berz, S Simm, S Schuster, KD Scharf, E Schleiff, I Ebersberger
Bioinformatics and biology insights 13, 1177932218821365, 2019
Enhancing universal dependency treebanks: A case study
J Nivre, P Marongiu, F Ginter, J Kanerva, S Montemagni, S Schuster, ...
Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), 102-107, 2018
Sentences with Gapping: Parsing and Reconstructing Elided Predicates
S Schuster, J Nivre, CD Manning
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
NOPE: A corpus of naturally-occurring presuppositions in English
A Parrish, S Schuster, A Warstadt, O Agha, SH Lee, Z Zhao, SR Bowman, ...
arXiv preprint arXiv:2109.06987, 2021
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it
S Schuster, T Linzen
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
Paris and Stanford at EPE 2017: Downstream Evaluation of Graph-based Dependency Representations
S Schuster, EV de la Clergerie, M Candito, B Sagot, CD Manning, ...
Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation (EPE 2017), 2017
Gapping Constructions in Universal Dependencies v2
S Schuster, M Lamm, CD Manning
NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017), 123-132, 2017
Entity tracking in language models
N Kim, S Schuster
arXiv preprint arXiv:2305.02363, 2023
Speaker-specific adaptation to variable use of uncertainty expressions
S Schuster, J Degen
Proceedings of the 41st Annual Meeting of the Cognitive Science Society …, 2019
Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.
Članci 1–20