Sebastian Schuster

Sebastian Schuster

New York University

H-index: 17

North America-United States

About Sebastian Schuster

Sebastian Schuster, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at New York University, specializes in the field of Natural Language Processing, Artificial Intelligence, Computational Linguistics, Pragmatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Effects of executive control and statistical learning tasks on semantic/pragmatic adaptation

Scope Ambiguities in Large Language Models

Expectations over unspoken alternatives predict pragmatic inferences

Entity tracking in language models

Working memory updating modulates adaptation to speaker-specific use of uncertainty expressions

Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions

Predicting scalar diversity with context-driven uncertainty over alternatives

When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it

Sebastian Schuster Information

University

Position

Postdoc in Linguistics and Data Science

Citations(all)

3146

Citations(since 2020)

2704

Cited By

1258

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

20

i10Index(since 2020)

19

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Sebastian Schuster Skills & Research Interests

Natural Language Processing

Artificial Intelligence

Computational Linguistics

Pragmatics

Top articles of Sebastian Schuster

Title

Journal

Author(s)

Publication Date

Effects of executive control and statistical learning tasks on semantic/pragmatic adaptation

Sebastian Schuster

Alexandra Mayn

2024/4/25

Scope Ambiguities in Large Language Models

arXiv preprint arXiv:2404.04332

Gaurav Kamath

Sebastian Schuster

Sowmya Vajjala

Siva Reddy

2024/4/5

Expectations over unspoken alternatives predict pragmatic inferences

Transactions of the Association for Computational Linguistics

Jennifer Hu

Roger Levy

Judith Degen

Sebastian Schuster

2023

Entity tracking in language models

arXiv preprint arXiv:2305.02363

Najoung Kim

Sebastian Schuster

2023/5/3

Working memory updating modulates adaptation to speaker-specific use of uncertainty expressions

Proceedings of the Annual Meeting of the Cognitive Science Society

Sebastian Schuster

Alexandra Mayn

Vera Demberg

2023

Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions

Soo-Hwan Lee

Sebastian Schuster

2022/2

Predicting scalar diversity with context-driven uncertainty over alternatives

Jennifer Hu

Roger Levy

Sebastian Schuster

2022

When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it

Sebastian Schuster

Tal Linzen

2022

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

arXiv preprint arXiv:2206.04615

Aarohi Srivastava

Abhinav Rastogi

Abhishek Rao

Abu Awal Md Shoeb

Abubakar Abid

...

2022/6/9

Coloring the blank slate: Pre-training imparts a hierarchical inductive bias to sequence-to-sequence models

arXiv preprint arXiv:2203.09397

Aaron Mueller

Robert Frank

Tal Linzen

Luheng Wang

Sebastian Schuster

2022/3/17

Running web-based experiments

Judith Degen

Sebastian Schuster

2021/1/7

NOPE: A corpus of naturally-occurring presuppositions in English

arXiv preprint arXiv:2109.06987

Alicia Parrish

Sebastian Schuster

Alex Warstadt

Omar Agha

Soo-Hwan Lee

...

2021/9/14

Predicting scalar inferences from “or” to “not both” using neural sentence encoders

Elissa Li

Sebastian Schuster

Judith Degen

2021/2

I know what you're probably going to say: Listener adaptation to variable use of uncertainty expressions

Cognition

Sebastian Schuster

Judith Degen

2020/10/1

Semantic Adaptation in Quantifier Meanings in Preschool Aged Children.

Sophie Regan

Sebastian Schuster

Judith Degen

Michael C Frank

2020

Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)

Marie-Catherine de Marneffe

Miryam de Lhoneux

Joakim Nivre

Sebastian Schuster

2020/12

Semantic-Pragmatic Adaptation

Sebastian Schuster

2020

Harnessing the linguistic signal to predict scalar inferences

Sebastian Schuster

Yuxing Chen

Judith Degen

2020/7

Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection

arXiv preprint arXiv:2004.10643

Joakim Nivre

Marie-Catherine De Marneffe

Filip Ginter

Jan Hajič

Christopher D Manning

...

2020/4/22

See List of Professors in Sebastian Schuster University(New York University)

Co-Authors

H-index: 158
Christopher D Manning

Christopher D Manning

Stanford University

H-index: 144
Li Fei-Fei

Li Fei-Fei

Stanford University

H-index: 85
Jeffrey Heer

Jeffrey Heer

University of Washington

H-index: 66
Joakim Nivre

Joakim Nivre

Uppsala Universitet

H-index: 52
Roger Levy

Roger Levy

Massachusetts Institute of Technology

H-index: 48
Jan Hajic

Jan Hajic

Univerzita Karlova

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