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Exploring Unsupervised Pretraining and Sentence Structure Modelling for
  Winograd Schema Challenge

Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge

22 April 2019
Yu-Ping Ruan
Xiao-Dan Zhu
Zhenhua Ling
Zhan Shi
Quan Liu
Si Wei
ArXivPDFHTML

Papers citing "Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge"

6 / 6 papers shown
Title
Precise Task Formalization Matters in Winograd Schema Evaluations
Precise Task Formalization Matters in Winograd Schema Evaluations
Haokun Liu
William Huang
Dhara Mungra
Samuel R. Bowman
ReLM
22
12
0
08 Oct 2020
The Sensitivity of Language Models and Humans to Winograd Schema
  Perturbations
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
Mostafa Abdou
Vinit Ravishankar
Maria Barrett
Yonatan Belinkov
Desmond Elliott
Anders Søgaard
ReLM
LRM
62
34
0
04 May 2020
Contrastive Self-Supervised Learning for Commonsense Reasoning
Contrastive Self-Supervised Learning for Commonsense Reasoning
T. Klein
Moin Nabi
LRM
SSL
19
63
0
02 May 2020
A Review of Winograd Schema Challenge Datasets and Approaches
A Review of Winograd Schema Challenge Datasets and Approaches
Vid Kocijan
Thomas Lukasiewicz
E. Davis
G. Marcus
L. Morgenstern
25
44
0
23 Apr 2020
Align, Mask and Select: A Simple Method for Incorporating Commonsense
  Knowledge into Language Representation Models
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
Zhiquan Ye
Qian Chen
Wen Wang
Zhenhua Ling
27
68
0
19 Aug 2019
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
304
7,005
0
20 Apr 2018
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