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Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction
  Tasks

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

15 August 2016
Yossi Adi
Einat Kermany
Yonatan Belinkov
Ofer Lavi
Yoav Goldberg
ArXivPDFHTML

Papers citing "Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks"

22 / 122 papers shown
Title
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse
  Tasks
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
Matthew E. Peters
Sebastian Ruder
Noah A. Smith
21
433
0
14 Mar 2019
Still a Pain in the Neck: Evaluating Text Representations on Lexical
  Composition
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition
Vered Shwartz
Ido Dagan
CoGe
21
78
0
27 Feb 2019
No Training Required: Exploring Random Encoders for Sentence
  Classification
No Training Required: Exploring Random Encoders for Sentence Classification
John Wieting
Douwe Kiela
6
98
0
29 Jan 2019
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability
  Judgments
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability Judgments
Alex Warstadt
Samuel R. Bowman
19
23
0
11 Jan 2019
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial
  and Multi-task Learning in Speech Recognition
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition
Yossi Adi
Neil Zeghidour
R. Collobert
Nicolas Usunier
Vitaliy Liptchinsky
Gabriel Synnaeve
29
39
0
09 Dec 2018
The Best of Both Worlds: Lexical Resources To Improve Low-Resource
  Part-of-Speech Tagging
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging
Barbara Plank
Sigrid Klerke
Zeljko Agic
NAI
49
4
0
21 Nov 2018
Generating Multiple Diverse Responses for Short-Text Conversation
Generating Multiple Diverse Responses for Short-Text Conversation
Jun Gao
Wei Bi
Xiaojiang Liu
Junhui Li
Shuming Shi
27
56
0
14 Nov 2018
Identifying and Controlling Important Neurons in Neural Machine
  Translation
Identifying and Controlling Important Neurons in Neural Machine Translation
A. Bau
Yonatan Belinkov
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
MILM
18
180
0
03 Nov 2018
Language Modeling Teaches You More Syntax than Translation Does: Lessons
  Learned Through Auxiliary Task Analysis
Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis
Kelly W. Zhang
Samuel R. Bowman
24
70
0
26 Sep 2018
Assessing Composition in Sentence Vector Representations
Assessing Composition in Sentence Vector Representations
Allyson Ettinger
Ahmed Elgohary
C. Phillips
Philip Resnik
CoGe
20
78
0
11 Sep 2018
82 Treebanks, 34 Models: Universal Dependency Parsing with
  Multi-Treebank Models
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models
Aaron Smith
Bernd Bohnet
Miryam de Lhoneux
Joakim Nivre
Yan Shao
Sara Stymne
25
67
0
06 Sep 2018
Neural Network Acceptability Judgments
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
38
1,371
0
31 May 2018
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Urvashi Khandelwal
He He
Peng Qi
Dan Jurafsky
RALM
14
293
0
12 May 2018
Learning General Purpose Distributed Sentence Representations via Large
  Scale Multi-task Learning
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian
Adam Trischler
Yoshua Bengio
C. Pal
SSL
27
328
0
30 Mar 2018
Colorless green recurrent networks dream hierarchically
Colorless green recurrent networks dream hierarchically
Kristina Gulordava
Piotr Bojanowski
Edouard Grave
Tal Linzen
Marco Baroni
20
502
0
29 Mar 2018
SentEval: An Evaluation Toolkit for Universal Sentence Representations
SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau
Douwe Kiela
37
630
0
14 Mar 2018
Visualisation and 'diagnostic classifiers' reveal how recurrent and
  recursive neural networks process hierarchical structure
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure
Dieuwke Hupkes
Sara Veldhoen
Willem H. Zuidema
24
274
0
28 Nov 2017
What do Neural Machine Translation Models Learn about Morphology?
What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
James R. Glass
58
410
0
11 Apr 2017
Representations of language in a model of visually grounded speech
  signal
Representations of language in a model of visually grounded speech signal
Grzegorz Chrupała
Lieke Gelderloos
A. Alishahi
38
131
0
07 Feb 2017
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
36
2,711
0
26 Sep 2016
Representation of linguistic form and function in recurrent neural
  networks
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár
Grzegorz Chrupała
A. Alishahi
27
162
0
29 Feb 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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