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Probing Linguistic Systematicity

Probing Linguistic Systematicity

8 May 2020
Emily Goodwin
Koustuv Sinha
Timothy J. O'Donnell
ArXivPDFHTML

Papers citing "Probing Linguistic Systematicity"

15 / 15 papers shown
Title
Evaluating Morphological Compositional Generalization in Large Language Models
Evaluating Morphological Compositional Generalization in Large Language Models
Mete Ismayilzada
Defne Çirci
Jonne Sälevä
Hale Sirin
Abdullatif Köksal
Bhuwan Dhingra
Antoine Bosselut
Lonneke van der Plas
Duygu Ataman
28
2
0
16 Oct 2024
Can Transformers Reason in Fragments of Natural Language?
Can Transformers Reason in Fragments of Natural Language?
Viktor Schlegel
Kamen V. Pavlov
Ian Pratt-Hartmann
LRM
ReLM
25
7
0
10 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
114
93
0
06 Oct 2022
Unit Testing for Concepts in Neural Networks
Unit Testing for Concepts in Neural Networks
Charles Lovering
Ellie Pavlick
23
28
0
28 Jul 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a
  Metamorphic Testing Perspective
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
Edoardo Manino
Julia Rozanova
Danilo S. Carvalho
André Freitas
Lucas C. Cordeiro
22
7
0
26 Apr 2022
Do Transformers know symbolic rules, and would we know if they did?
Do Transformers know symbolic rules, and would we know if they did?
Tommi Gröndahl
Yu-Wen Guo
Nirmal Asokan
25
0
0
19 Feb 2022
Frequency Effects on Syntactic Rule Learning in Transformers
Frequency Effects on Syntactic Rule Learning in Transformers
Jason W. Wei
Dan Garrette
Tal Linzen
Ellie Pavlick
88
62
0
14 Sep 2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking
  and Evaluation
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation
Prakhar Gupta
Yulia Tsvetkov
Jeffrey P. Bigham
34
22
0
10 Jun 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language
  Semantics
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Hitomi Yanaka
K. Mineshima
Kentaro Inui
NAI
AI4CE
32
11
0
02 Jun 2021
Modeling Event Plausibility with Consistent Conceptual Abstraction
Modeling Event Plausibility with Consistent Conceptual Abstraction
Ian Porada
Kaheer Suleman
Adam Trischler
Jackie C.K. Cheung
111
19
0
20 Apr 2021
DirectProbe: Studying Representations without Classifiers
DirectProbe: Studying Representations without Classifiers
Yichu Zhou
Vivek Srikumar
29
27
0
13 Apr 2021
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
29
43
0
21 Oct 2019
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
Neural Semantic Encoders
Neural Semantic Encoders
Tsendsuren Munkhdalai
Hong-ye Yu
216
131
0
14 Jul 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
201
1,367
0
06 Jun 2016
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