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ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for
  Nouns' Semantic Properties and their Prototypicality

ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their Prototypicality

12 October 2021
Marianna Apidianaki
Aina Garí Soler
ArXivPDFHTML

Papers citing "ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their Prototypicality"

19 / 19 papers shown
Title
Data Augmentation for Hypernymy Detection
Data Augmentation for Hypernymy Detection
Thomas Kober
Julie Weeds
Lorenzo Bertolini
David J. Weir
45
18
0
04 May 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
225
1,681
0
16 Mar 2020
Inducing Relational Knowledge from BERT
Inducing Relational Knowledge from BERT
Zied Bouraoui
Jose Camacho-Collados
Steven Schockaert
57
167
0
28 Nov 2019
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
91
1,387
0
28 Nov 2019
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
523
2,639
0
03 Sep 2019
VisualBERT: A Simple and Performant Baseline for Vision and Language
VisualBERT: A Simple and Performant Baseline for Vision and Language
Liunian Harold Li
Mark Yatskar
Da Yin
Cho-Jui Hsieh
Kai-Wei Chang
VLM
104
1,939
0
09 Aug 2019
Do Neural Language Representations Learn Physical Commonsense?
Do Neural Language Representations Learn Physical Commonsense?
Maxwell Forbes
Ari Holtzman
Yejin Choi
NAI
LRM
AI4CE
26
109
0
08 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for
  Vision-and-Language Tasks
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu
Dhruv Batra
Devi Parikh
Stefan Lee
SSL
VLM
192
3,659
0
06 Aug 2019
What BERT is not: Lessons from a new suite of psycholinguistic
  diagnostics for language models
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger
49
602
0
31 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
914
93,936
0
11 Oct 2018
Advances in Pre-Training Distributed Word Representations
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov
Edouard Grave
Piotr Bojanowski
Christian Puhrsch
Armand Joulin
AI4TS
VLM
83
1,238
0
26 Dec 2017
Are distributional representations ready for the real world? Evaluating
  word vectors for grounded perceptual meaning
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning
L. Lucy
Jon Gauthier
NAI
38
60
0
31 May 2017
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
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
810
6,768
0
26 Sep 2016
HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment
HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment
Ivan Vulić
D. Gerz
Douwe Kiela
Felix Hill
Anna Korhonen
41
102
0
06 Aug 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
144
8,067
0
16 Jun 2016
Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns
  in Distributional Vectors for Lexical Entailment
Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment
Stephen Roller
K. Erk
18
75
0
18 May 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
220
4,256
0
21 Aug 2015
Combining Language and Vision with a Multimodal Skip-gram Model
Combining Language and Vision with a Multimodal Skip-gram Model
Angeliki Lazaridou
N. Pham
Marco Baroni
VLM
66
281
0
12 Jan 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
536
31,406
0
16 Jan 2013
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