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Analysis Methods in Neural Language Processing: A Survey

Analysis Methods in Neural Language Processing: A Survey

21 December 2018
Yonatan Belinkov
James R. Glass
ArXivPDFHTML

Papers citing "Analysis Methods in Neural Language Processing: A Survey"

17 / 67 papers shown
Title
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
11
14
0
01 May 2020
How recurrent networks implement contextual processing in sentiment
  analysis
How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan
David Sussillo
12
22
0
17 Apr 2020
Information-Theoretic Probing with Minimum Description Length
Information-Theoretic Probing with Minimum Description Length
Elena Voita
Ivan Titov
14
269
0
27 Mar 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
12
300
0
31 Dec 2019
Analysing Neural Language Models: Contextual Decomposition Reveals
  Default Reasoning in Number and Gender Assignment
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment
Jaap Jumelet
Willem H. Zuidema
Dieuwke Hupkes
LRM
17
37
0
19 Sep 2019
Visual Interaction with Deep Learning Models through Collaborative
  Semantic Inference
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Sebastian Gehrmann
Hendrik Strobelt
Robert Krüger
Hanspeter Pfister
Alexander M. Rush
HAI
11
57
0
24 Jul 2019
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb
  Constructions?
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
Miryam de Lhoneux
Sara Stymne
Joakim Nivre
6
3
0
18 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural
  Language Inference
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
19
94
0
09 Jul 2019
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic
  Speech Recognition
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition
Yonatan Belinkov
Ahmed M. Ali
James R. Glass
9
32
0
09 Jul 2019
Linguistic Knowledge and Transferability of Contextual Representations
Linguistic Knowledge and Transferability of Contextual Representations
Nelson F. Liu
Matt Gardner
Yonatan Belinkov
Matthew E. Peters
Noah A. Smith
11
716
0
21 Mar 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
199
879
0
03 May 2018
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
187
576
0
02 May 2018
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
243
914
0
21 Apr 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
294
6,943
0
20 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
185
711
0
17 Apr 2018
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
219
201
0
06 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,233
0
24 Jun 2017
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