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The Sensitivity of Language Models and Humans to Winograd Schema
  Perturbations

The Sensitivity of Language Models and Humans to Winograd Schema Perturbations

4 May 2020
Mostafa Abdou
Vinit Ravishankar
Maria Barrett
Yonatan Belinkov
Desmond Elliott
Anders Søgaard
    ReLM
    LRM
ArXivPDFHTML

Papers citing "The Sensitivity of Language Models and Humans to Winograd Schema Perturbations"

6 / 6 papers shown
Title
WinoPron: Revisiting English Winogender Schemas for Consistency,
  Coverage, and Grammatical Case
WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case
Vagrant Gautam
Julius Steuer
Eileen Bingert
Ray Johns
Anne Lauscher
Dietrich Klakow
30
3
0
09 Sep 2024
Causal interventions expose implicit situation models for commonsense
  language understanding
Causal interventions expose implicit situation models for commonsense language understanding
Takateru Yamakoshi
James L. McClelland
A. Goldberg
Robert D. Hawkins
11
5
0
06 Jun 2023
An Empirical Investigation of Commonsense Self-Supervision with
  Knowledge Graphs
An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs
Jiarui Zhang
Filip Ilievski
Kaixin Ma
Jonathan M Francis
A. Oltramari
SSL
11
5
0
21 May 2022
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
391
2,216
0
03 Sep 2019
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
574
0
02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1