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Designing and Interpreting Probes with Control Tasks

Designing and Interpreting Probes with Control Tasks

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
8 September 2019
John Hewitt
Abigail Z. Jacobs
ArXiv (abs)PDFHTML

Papers citing "Designing and Interpreting Probes with Control Tasks"

31 / 381 papers shown
Evaluating representations by the complexity of learning low-loss
  predictors
Evaluating representations by the complexity of learning low-loss predictors
William F. Whitney
M. Song
David Brandfonbrener
Jaan Altosaar
Dong Wang
221
25
0
15 Sep 2020
An information theoretic view on selecting linguistic probes
An information theoretic view on selecting linguistic probesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Zining Zhu
Frank Rudzicz
169
21
0
15 Sep 2020
Visually Analyzing Contextualized Embeddings
Visually Analyzing Contextualized EmbeddingsVisual .. (VISUAL), 2020
M. Berger
109
15
0
05 Sep 2020
Measuring Memorization Effect in Word-Level Neural Networks Probing
Measuring Memorization Effect in Word-Level Neural Networks Probing
Rudolf Rosa
Tomáš Musil
David Marevcek
179
4
0
29 Jun 2020
Compositional Explanations of Neurons
Compositional Explanations of NeuronsNeural Information Processing Systems (NeurIPS), 2020
Jesse Mu
Jacob Andreas
FAttCoGeMILM
287
200
0
24 Jun 2020
How to Probe Sentence Embeddings in Low-Resource Languages: On
  Structural Design Choices for Probing Task Evaluation
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation
Steffen Eger
Johannes Daxenberger
Iryna Gurevych
245
12
0
16 Jun 2020
Revisiting Few-sample BERT Fine-tuning
Revisiting Few-sample BERT Fine-tuningInternational Conference on Learning Representations (ICLR), 2020
Tianyi Zhang
Felix Wu
Arzoo Katiyar
Kilian Q. Weinberger
Yoav Artzi
411
488
0
10 Jun 2020
Emergence of Separable Manifolds in Deep Language Representations
Emergence of Separable Manifolds in Deep Language RepresentationsInternational Conference on Machine Learning (ICML), 2020
Jonathan Mamou
Hang Le
Miguel Angel del Rio
Cory Stephenson
Hanlin Tang
Yoon Kim
SueYeon Chung
AAMLAI4CE
324
46
0
01 Jun 2020
Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals
Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals
Yanai Elazar
Shauli Ravfogel
Alon Jacovi
Yoav Goldberg
383
25
0
01 Jun 2020
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
Syntactic Structure Distillation Pretraining For Bidirectional EncodersTransactions of the Association for Computational Linguistics (TACL), 2020
A. Kuncoro
Lingpeng Kong
Daniel Fried
Dani Yogatama
Laura Rimell
Chris Dyer
Phil Blunsom
203
36
0
27 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through
  Influence Functions
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
Xiaochuang Han
Byron C. Wallace
Yulia Tsvetkov
MILMFAttAAMLTDI
304
192
0
14 May 2020
Finding Universal Grammatical Relations in Multilingual BERT
Finding Universal Grammatical Relations in Multilingual BERT
Ethan A. Chi
John Hewitt
Christopher D. Manning
204
162
0
09 May 2020
A Tale of a Probe and a Parser
A Tale of a Probe and a ParserAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Rowan Hall Maudslay
Josef Valvoda
Tiago Pimentel
Adina Williams
Robert Bamler
134
60
0
04 May 2020
Emergence of Syntax Needs Minimal Supervision
Emergence of Syntax Needs Minimal SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Raphaël Bailly
Kata Gábor
178
5
0
03 May 2020
Probing Contextual Language Models for Common Ground with Visual
  Representations
Probing Contextual Language Models for Common Ground with Visual Representations
Gabriel Ilharco
Rowan Zellers
Ali Farhadi
Hannaneh Hajishirzi
410
14
0
01 May 2020
Interpretable Entity Representations through Large-Scale Typing
Interpretable Entity Representations through Large-Scale TypingFindings (Findings), 2020
Yasumasa Onoe
Greg Durrett
236
20
0
30 Apr 2020
A Matter of Framing: The Impact of Linguistic Formalism on Probing
  Results
A Matter of Framing: The Impact of Linguistic Formalism on Probing ResultsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ilia Kuznetsov
Iryna Gurevych
111
28
0
30 Apr 2020
Neural Natural Language Inference Models Partially Embed Theories of
  Lexical Entailment and Negation
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation
Atticus Geiger
Kyle Richardson
Christopher Potts
248
4
0
30 Apr 2020
Learning Music Helps You Read: Using Transfer to Study Linguistic
  Structure in Language Models
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models
Isabel Papadimitriou
Dan Jurafsky
276
9
0
30 Apr 2020
Asking without Telling: Exploring Latent Ontologies in Contextual
  Representations
Asking without Telling: Exploring Latent Ontologies in Contextual RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Julian Michael
Jan A. Botha
Ian Tenney
319
44
0
29 Apr 2020
What Happens To BERT Embeddings During Fine-tuning?
What Happens To BERT Embeddings During Fine-tuning?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2020
Amil Merchant
Elahe Rahimtoroghi
Ellie Pavlick
Ian Tenney
235
206
0
29 Apr 2020
Do Neural Language Models Show Preferences for Syntactic Formalisms?
Do Neural Language Models Show Preferences for Syntactic Formalisms?Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Artur Kulmizev
Vinit Ravishankar
Mostafa Abdou
Joakim Nivre
MILM
173
46
0
29 Apr 2020
Quantifying the Contextualization of Word Representations with Semantic
  Class Probing
Quantifying the Contextualization of Word Representations with Semantic Class ProbingFindings (Findings), 2020
Mengjie Zhao
Philipp Dufter
Yadollah Yaghoobzadeh
Hinrich Schütze
270
28
0
25 Apr 2020
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent
  Neural Networks
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural NetworksNordic Conference of Computational Linguistics (NODALIDA), 2020
Prajit Dhar
Arianna Bisazza
223
10
0
31 Mar 2020
Information-Theoretic Probing with Minimum Description Length
Information-Theoretic Probing with Minimum Description LengthConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Elena Voita
Ivan Titov
250
297
0
27 Mar 2020
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
446
169
0
16 Mar 2020
Parsing as Pretraining
Parsing as PretrainingAAAI Conference on Artificial Intelligence (AAAI), 2020
David Vilares
Michalina Strzyz
Anders Søgaard
Carlos Gómez-Rodríguez
181
32
0
05 Feb 2020
BERT's output layer recognizes all hidden layers? Some Intriguing
  Phenomena and a simple way to boost BERT
BERT's output layer recognizes all hidden layers? Some Intriguing Phenomena and a simple way to boost BERT
Wei-Tsung Kao
Tsung-Han Wu
Po-Han Chi
Chun-Cheng Hsieh
Hung-yi Lee
SSL
142
5
0
25 Jan 2020
What Does My QA Model Know? Devising Controlled Probes using Expert
  Knowledge
What Does My QA Model Know? Devising Controlled Probes using Expert KnowledgeTransactions of the Association for Computational Linguistics (TACL), 2019
Kyle Richardson
Ashish Sabharwal
243
47
0
31 Dec 2019
oLMpics -- On what Language Model Pre-training Captures
oLMpics -- On what Language Model Pre-training CapturesTransactions of the Association for Computational Linguistics (TACL), 2019
Alon Talmor
Yanai Elazar
Yoav Goldberg
Jonathan Berant
LRM
358
306
0
31 Dec 2019
What do you mean, BERT? Assessing BERT as a Distributional Semantics
  Model
What do you mean, BERT? Assessing BERT as a Distributional Semantics Model
Timothee Mickus
Denis Paperno
Mathieu Constant
Kees van Deemter
235
49
0
13 Nov 2019
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