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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

31 July 2019
Allyson Ettinger
ArXivPDFHTML

Papers citing "What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models"

19 / 119 papers shown
Title
HateCheck: Functional Tests for Hate Speech Detection Models
HateCheck: Functional Tests for Hate Speech Detection Models
Paul Röttger
B. Vidgen
Dong Nguyen
Zeerak Talat
Helen Z. Margetts
J. Pierrehumbert
31
259
0
31 Dec 2020
Out of Order: How Important Is The Sequential Order of Words in a
  Sentence in Natural Language Understanding Tasks?
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?
Thang M. Pham
Trung Bui
Long Mai
Anh Totti Nguyen
217
122
0
30 Dec 2020
When Do You Need Billions of Words of Pretraining Data?
When Do You Need Billions of Words of Pretraining Data?
Yian Zhang
Alex Warstadt
Haau-Sing Li
Samuel R. Bowman
29
136
0
10 Nov 2020
Automatically Identifying Words That Can Serve as Labels for Few-Shot
  Text Classification
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
Timo Schick
Helmut Schmid
Hinrich Schütze
VLM
13
206
0
26 Oct 2020
Dynamic Contextualized Word Embeddings
Dynamic Contextualized Word Embeddings
Valentin Hofmann
J. Pierrehumbert
Hinrich Schütze
39
51
0
23 Oct 2020
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
242
611
0
13 Oct 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
39
955
0
15 Sep 2020
Analysis and Evaluation of Language Models for Word Sense Disambiguation
Analysis and Evaluation of Language Models for Word Sense Disambiguation
Daniel Loureiro
Kiamehr Rezaee
Mohammad Taher Pilehvar
Jose Camacho-Collados
24
13
0
26 Aug 2020
Word meaning in minds and machines
Word meaning in minds and machines
Brenden M. Lake
G. Murphy
NAI
15
117
0
04 Aug 2020
BERTology Meets Biology: Interpreting Attention in Protein Language
  Models
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Jesse Vig
Ali Madani
L. Varshney
Caiming Xiong
R. Socher
Nazneen Rajani
29
288
0
26 Jun 2020
Spying on your neighbors: Fine-grained probing of contextual embeddings
  for information about surrounding words
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words
Josef Klafka
Allyson Ettinger
51
42
0
04 May 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
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,589
0
21 Jan 2020
oLMpics -- On what Language Model Pre-training Captures
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor
Yanai Elazar
Yoav Goldberg
Jonathan Berant
LRM
34
300
0
31 Dec 2019
Negated and Misprimed Probes for Pretrained Language Models: Birds Can
  Talk, But Cannot Fly
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
Nora Kassner
Hinrich Schütze
17
316
0
08 Nov 2019
When Choosing Plausible Alternatives, Clever Hans can be Clever
When Choosing Plausible Alternatives, Clever Hans can be Clever
Pride Kavumba
Naoya Inoue
Benjamin Heinzerling
Keshav Singh
Paul Reisert
Kentaro Inui
16
50
0
01 Nov 2019
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 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
299
6,984
0
20 Apr 2018
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