activity
20182022
most citedUniversal Dependencies v2: An Evergrowing Multilingual Treebank Collection

331 citations · 333 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL20221 cited

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

Sebastian Schuster, Tal Linzen

Understanding longer narratives or participating in conversations requires tracking of discourse entities that have been mentioned. Indefinite noun phrases (NPs), such as 'a dog',…

cs.CL20221 cited

Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models

Aaron Mueller, Robert Frank, Tal Linzen +2

Relations between words are governed by hierarchical structure rather than linear ordering. Sequence-to-sequence (seq2seq) models, despite their success in downstream NLP applicati…

cs.CL2021

NOPE: A Corpus of Naturally-Occurring Presuppositions in English

Alicia Parrish, Sebastian Schuster, Alex Warstadt +5

Understanding language requires grasping not only the overtly stated content, but also making inferences about things that were left unsaid. These inferences include presupposition…

cs.CL2020331 cited

Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection

Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter +6

Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages within a dependency-based lexicalist framework.…

cs.CL2019

Harnessing the linguistic signal to predict scalar inferences

Sebastian Schuster, Yuxing Chen, Judith Degen

Pragmatic inferences often subtly depend on the presence or absence of linguistic features. For example, the presence of a partitive construction (of the) increases the strength of…

cs.CL2018

Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog

Sebastian Schuster, Sonal Gupta, Rushin Shah +1

One of the first steps in the utterance interpretation pipeline of many task-oriented conversational AI systems is to identify user intents and the corresponding slots. Since data…