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Posing Fair Generalization Tasks for Natural Language Inference

Posing Fair Generalization Tasks for Natural Language Inference

3 November 2019
Atticus Geiger
Ignacio Cases
L. Karttunen
Christopher Potts
ArXivPDFHTML

Papers citing "Posing Fair Generalization Tasks for Natural Language Inference"

14 / 14 papers shown
Title
ReCOGS: How Incidental Details of a Logical Form Overshadow an
  Evaluation of Semantic Interpretation
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation
Zhengxuan Wu
Christopher D. Manning
Christopher Potts
32
22
0
24 Mar 2023
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
43
1
0
22 Nov 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
129
95
0
06 Oct 2022
Generalized Quantifiers as a Source of Error in Multilingual NLU
  Benchmarks
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks
Ruixiang Cui
Daniel Hershcovich
Anders Søgaard
25
13
0
22 Apr 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural
  Language Inference
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference
Yufei Feng
Xiaoyu Yang
Xiao-Dan Zhu
Michael A. Greenspan
LRM
NAI
50
11
0
09 Mar 2022
Inducing Causal Structure for Interpretable Neural Networks
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger
Zhengxuan Wu
Hanson Lu
J. Rozner
Elisa Kreiss
Thomas Icard
Noah D. Goodman
Christopher Potts
CML
OOD
35
71
0
01 Dec 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data
  Augmentation
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
Derek Chen
Zhou Yu
32
31
0
07 Sep 2021
Causal Abstractions of Neural Networks
Causal Abstractions of Neural Networks
Atticus Geiger
Hanson Lu
Thomas Icard
Christopher Potts
NAI
CML
17
222
0
06 Jun 2021
Exploring Transitivity in Neural NLI Models through Veridicality
Exploring Transitivity in Neural NLI Models through Veridicality
Hitomi Yanaka
K. Mineshima
Kentaro Inui
28
23
0
26 Jan 2021
On the Importance of Adaptive Data Collection for Extremely Imbalanced
  Pairwise Tasks
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
Stephen Mussmann
Robin Jia
Percy Liang
29
15
0
10 Oct 2020
Understanding tables with intermediate pre-training
Understanding tables with intermediate pre-training
Julian Martin Eisenschlos
Syrine Krichene
Thomas Müller
LMTD
15
119
0
01 Oct 2020
A Benchmark for Systematic Generalization in Grounded Language
  Understanding
A Benchmark for Systematic Generalization in Grounded Language Understanding
Laura Ruis
Jacob Andreas
Marco Baroni
Diane Bouchacourt
Brenden M. Lake
19
138
0
11 Mar 2020
Probing Natural Language Inference Models through Semantic Fragments
Probing Natural Language Inference Models through Semantic Fragments
Kyle Richardson
Hai Hu
L. Moss
Ashish Sabharwal
19
148
0
16 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
190
576
0
02 May 2018
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