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Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction
  Tasks
v1v2v3 (latest)

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

15 August 2016
Yossi Adi
Einat Kermany
Yonatan Belinkov
Ofer Lavi
Yoav Goldberg
ArXiv (abs)PDFHTML

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

50 / 359 papers shown
Title
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
285
306
0
31 Dec 2019
COSTRA 1.0: A Dataset of Complex Sentence Transformations
COSTRA 1.0: A Dataset of Complex Sentence TransformationsInternational Conference on Language Resources and Evaluation (LREC), 2019
P. Barancíková
Ondrej Bojar
107
7
0
03 Dec 2019
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
BLiMP: The Benchmark of Linguistic Minimal Pairs for EnglishTransactions of the Association for Computational Linguistics (TACL), 2019
Alex Warstadt
Alicia Parrish
Haokun Liu
Anhad Mohananey
Wei Peng
Sheng-Fu Wang
Samuel R. Bowman
361
604
0
02 Dec 2019
Do Attention Heads in BERT Track Syntactic Dependencies?
Do Attention Heads in BERT Track Syntactic Dependencies?
Phu Mon Htut
Jason Phang
Shikha Bordia
Samuel R. Bowman
171
141
0
27 Nov 2019
On the Linguistic Representational Power of Neural Machine Translation
  Models
On the Linguistic Representational Power of Neural Machine Translation ModelsInternational Conference on Computational Logic (ICCL), 2019
Yonatan Belinkov
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
James R. Glass
MILM
187
74
0
01 Nov 2019
Evaluation of Sentence Representations in Polish
Evaluation of Sentence Representations in PolishInternational Conference on Language Resources and Evaluation (LREC), 2019
Slawomir Dadas
Michal Perelkiewicz
Rafal Poswiata
280
18
0
25 Oct 2019
Predicting In-game Actions from Interviews of NBA Players
Predicting In-game Actions from Interviews of NBA Players
Nadav Oved
Amir Feder
Roi Reichart
245
2
0
24 Oct 2019
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning NetworksBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2019
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
315
45
0
21 Oct 2019
Neural Hybrid Recommender: Recommendation needs collaboration
Neural Hybrid Recommender: Recommendation needs collaboration
Ezgi Yildirim
Payam V. Azad
cSule Gunduz Ouguducu
80
4
0
29 Sep 2019
Situating Sentence Embedders with Nearest Neighbor Overlap
Situating Sentence Embedders with Nearest Neighbor Overlap
Lucy H. Lin
Noah A. Smith
111
3
0
24 Sep 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Do NLP Models Know Numbers? Probing Numeracy in EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Eric Wallace
Yizhong Wang
Sujian Li
Sameer Singh
Matt Gardner
295
285
0
17 Sep 2019
What do Deep Networks Like to Read?
What do Deep Networks Like to Read?
Jonas Pfeiffer
Aishwarya Kamath
Iryna Gurevych
Sebastian Ruder
85
3
0
10 Sep 2019
Designing and Interpreting Probes with Control Tasks
Designing and Interpreting Probes with Control TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
John Hewitt
Abigail Z. Jacobs
369
586
0
08 Sep 2019
A systematic comparison of methods for low-resource dependency parsing
  on genuinely low-resource languages
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
Clara Vania
Yova Kementchedjhieva
Anders Søgaard
Adam Lopez
124
55
0
06 Sep 2019
Investigating BERT's Knowledge of Language: Five Analysis Methods with
  NPIs
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Alex Warstadt
Yuning Cao
Ioana Grosu
Wei Peng
Hagen Blix
...
Jason Phang
Anhad Mohananey
Phu Mon Htut
Paloma Jeretic
Samuel R. Bowman
133
126
0
05 Sep 2019
Higher-order Comparisons of Sentence Encoder Representations
Higher-order Comparisons of Sentence Encoder RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Mostafa Abdou
Artur Kulmizev
Felix Hill
D. Low
Anders Søgaard
145
17
0
01 Sep 2019
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence
  Representations
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Mingda Chen
Zewei Chu
Kevin Gimpel
246
49
0
31 Aug 2019
EntEval: A Holistic Evaluation Benchmark for Entity Representations
EntEval: A Holistic Evaluation Benchmark for Entity RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Mingda Chen
Zewei Chu
Yang Chen
K. Stratos
Kevin Gimpel
222
12
0
31 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 modelsTransactions of the Association for Computational Linguistics (TACL), 2019
Allyson Ettinger
291
633
0
31 Jul 2019
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations
LINSPECTOR WEB: A Multilingual Probing Suite for Word RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Max Eichler
Gözde Gül Sahin
Iryna Gurevych
188
15
0
26 Jul 2019
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb
  Constructions?
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?Computational Linguistics (CL), 2019
Miryam de Lhoneux
Sara Stymne
Joakim Nivre
141
3
0
18 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 RecognitionInterspeech (Interspeech), 2019
Yonatan Belinkov
Ahmed M. Ali
James R. Glass
173
40
0
09 Jul 2019
Representation, Exploration and Recommendation of Music Playlists
Representation, Exploration and Recommendation of Music Playlists
Piyush Papreja
Hemanth Venkateswara
S. Panchanathan
AI4TS
59
0
0
01 Jul 2019
Learning Compressed Sentence Representations for On-Device Text
  Processing
Learning Compressed Sentence Representations for On-Device Text ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Dinghan Shen
Pengyu Cheng
Dhanasekar Sundararaman
Xinyuan Zhang
Qian Yang
Meng Tang
Asli Celikyilmaz
Lawrence Carin
108
23
0
19 Jun 2019
Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level
  Neural Language Models Trained on Unsegmented Text
Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level Neural Language Models Trained on Unsegmented TextTransactions of the Association for Computational Linguistics (TACL), 2019
Michael Hahn
Marco Baroni
LMTD
79
15
0
17 Jun 2019
A Structured Distributional Model of Sentence Meaning and Processing
A Structured Distributional Model of Sentence Meaning and ProcessingNatural Language Engineering (Nat. Lang. Eng.), 2019
Emmanuele Chersoni
Enrico Santus
Ludovica Pannitto
Alessandro Lenci
P. Blache
Chu-Ren Huang
127
18
0
17 Jun 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation
Scalable Syntax-Aware Language Models Using Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
A. Kuncoro
Chris Dyer
Laura Rimell
S. Clark
Phil Blunsom
202
26
0
14 Jun 2019
Putting words in context: LSTM language models and lexical ambiguity
Putting words in context: LSTM language models and lexical ambiguityAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Laura Aina
Kristina Gulordava
Gemma Boleda
151
41
0
12 Jun 2019
What Does BERT Look At? An Analysis of BERT's Attention
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark
Urvashi Khandelwal
Omer Levy
Christopher D. Manning
MILM
538
1,788
0
11 Jun 2019
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves
  Classification
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Tu Vu
Mohit Iyyer
110
2
0
09 Jun 2019
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer
  Self-Attentions
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions
David Marecek
Rudolf Rosa
117
53
0
05 Jun 2019
Do Neural Dialog Systems Use the Conversation History Effectively? An
  Empirical Study
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical StudyAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Chinnadhurai Sankar
Sandeep Subramanian
C. Pal
A. Chandar
Yoshua Bengio
210
121
0
04 Jun 2019
Assessing the Ability of Self-Attention Networks to Learn Word Order
Assessing the Ability of Self-Attention Networks to Learn Word OrderAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Baosong Yang
Longyue Wang
Yang Li
Lidia S. Chao
Zhaopeng Tu
141
32
0
03 Jun 2019
Pretraining Methods for Dialog Context Representation Learning
Pretraining Methods for Dialog Context Representation LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Shikib Mehri
E. Razumovskaia
Tiancheng Zhao
M. Eskénazi
200
84
0
02 Jun 2019
Sentence Length
Sentence Length
Gábor Borbély
András Kornai
50
14
0
22 May 2019
What do you learn from context? Probing for sentence structure in
  contextualized word representations
What do you learn from context? Probing for sentence structure in contextualized word representationsInternational Conference on Learning Representations (ICLR), 2019
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
366
910
0
15 May 2019
Correlating neural and symbolic representations of language
Correlating neural and symbolic representations of languageAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Grzegorz Chrupała
Afra Alishahi
NAI
145
73
0
14 May 2019
Probing What Different NLP Tasks Teach Machines about Function Word
  Comprehension
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
Najoung Kim
Roma Patel
Adam Poliak
Alex Jinpeng Wang
Patrick Xia
...
Alexis Ross
Tal Linzen
Benjamin Van Durme
Samuel R. Bowman
Ellie Pavlick
189
111
0
25 Apr 2019
Evaluating the Representational Hub of Language and Vision Models
Evaluating the Representational Hub of Language and Vision Models
Ravi Shekhar
Ece Takmaz
Raquel Fernández
Raffaella Bernardi
130
12
0
12 Apr 2019
Gating Mechanisms for Combining Character and Word-level Word
  Representations: An Empirical Study
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
Jorge A. Balazs
Y. Matsuo
AI4CENAI
116
3
0
11 Apr 2019
Analyzing and Interpreting Neural Networks for NLP: A Report on the
  First BlackboxNLP Workshop
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop
Afra Alishahi
Grzegorz Chrupała
Tal Linzen
NAIMILM
159
67
0
05 Apr 2019
Neural Vector Conceptualization for Word Vector Space Interpretation
Neural Vector Conceptualization for Word Vector Space Interpretation
Robert Schwarzenberg
Lisa Raithel
David Harbecke
LLMSVVLM
98
9
0
02 Apr 2019
LINSPECTOR: Multilingual Probing Tasks for Word Representations
LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsInternational Conference on Computational Logic (ICCL), 2019
Gözde Gül Sahin
Clara Vania
Ilia Kuznetsov
Iryna Gurevych
158
45
0
22 Mar 2019
Linguistic Knowledge and Transferability of Contextual Representations
Linguistic Knowledge and Transferability of Contextual RepresentationsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Nelson F. Liu
Matt Gardner
Yonatan Belinkov
Matthew E. Peters
Noah A. Smith
668
781
0
21 Mar 2019
Trick or TReAT: Thematic Reinforcement for Artistic Typography
Trick or TReAT: Thematic Reinforcement for Artistic TypographyInternational Conference on Innovative Computing and Cloud Computing (ICCC), 2019
Purva Tendulkar
Kalpesh Krishna
Ramprasaath R. Selvaraju
Devi Parikh
83
15
0
19 Mar 2019
The emergence of number and syntax units in LSTM language models
The emergence of number and syntax units in LSTM language modelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Yair Lakretz
Germán Kruszewski
T. Desbordes
Dieuwke Hupkes
S. Dehaene
Marco Baroni
273
179
0
18 Mar 2019
Improving Lemmatization of Non-Standard Languages with Joint Learning
Improving Lemmatization of Non-Standard Languages with Joint Learning
Enrique Manjavacas
Ákos Kádár
M. Kestemont
103
49
0
16 Mar 2019
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
266
464
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 CompositionTransactions of the Association for Computational Linguistics (TACL), 2019
Vered Shwartz
Ido Dagan
CoGe
171
86
0
27 Feb 2019
Discovery of Natural Language Concepts in Individual Units of CNNs
Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na
Yo Joong Choe
Dong-Hyun Lee
Gunhee Kim
MILM
111
25
0
18 Feb 2019
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