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Deep contextualized word representations
v1v2 (latest)

Deep contextualized word representations

15 February 2018
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
    NAI
ArXiv (abs)PDFHTML

Papers citing "Deep contextualized word representations"

50 / 4,508 papers shown
Title
Resolving Gendered Ambiguous Pronouns with BERT
Resolving Gendered Ambiguous Pronouns with BERT
Kellie Webster
Marta Recasens
Ken Krige
Vera Axelrod
Denis Logvinenko
Jason Baldridge
107
54
0
03 Jun 2019
Assessing the Ability of Self-Attention Networks to Learn Word Order
Assessing the Ability of Self-Attention Networks to Learn Word Order
Baosong Yang
Longyue Wang
Derek F. Wong
Lidia S. Chao
Zhaopeng Tu
75
32
0
03 Jun 2019
Global Textual Relation Embedding for Relational Understanding
Global Textual Relation Embedding for Relational Understanding
Zhiyu Zoey Chen
Hanwen Zha
Honglei Liu
Wenhu Chen
Xifeng Yan
Yu-Chuan Su
NAI
38
4
0
03 Jun 2019
Pretraining Methods for Dialog Context Representation Learning
Pretraining Methods for Dialog Context Representation Learning
Shikib Mehri
E. Razumovskaia
Tiancheng Zhao
M. Eskénazi
115
84
0
02 Jun 2019
Does It Make Sense? And Why? A Pilot Study for Sense Making and
  Explanation
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation
Cunxiang Wang
Shuailong Liang
Yue Zhang
Xiaonan Li
Tian Gao
LRM
90
111
0
02 Jun 2019
Pre-training of Graph Augmented Transformers for Medication
  Recommendation
Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang
Tengfei Ma
Cao Xiao
Jimeng Sun
94
291
0
02 Jun 2019
Latent Retrieval for Weakly Supervised Open Domain Question Answering
Latent Retrieval for Weakly Supervised Open Domain Question Answering
Kenton Lee
Ming-Wei Chang
Kristina Toutanova
RALM
121
1,020
0
01 Jun 2019
Quantitative Overfitting Management for Human-in-the-loop ML Application
  Development with ease.ml/meter
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter
F. Hubis
Wentao Wu
Ce Zhang
42
6
0
01 Jun 2019
How to best use Syntax in Semantic Role Labelling
How to best use Syntax in Semantic Role Labelling
Yufei Wang
Mark Johnson
Stephen Wan
Yifang Sun
Wei Wang
54
26
0
01 Jun 2019
Efficient Adaptation of Pretrained Transformers for Abstractive
  Summarization
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization
Andrew Hoang
Antoine Bosselut
Asli Celikyilmaz
Yejin Choi
76
41
0
01 Jun 2019
Pre-Training Graph Neural Networks for Generic Structural Feature
  Extraction
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
Ziniu Hu
Changjun Fan
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
63
44
0
31 May 2019
Attention Is (not) All You Need for Commonsense Reasoning
Attention Is (not) All You Need for Commonsense Reasoning
T. Klein
Moin Nabi
LRM
79
37
0
31 May 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in
  Reading Comprehension
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension
Alon Talmor
Jonathan Berant
106
173
0
31 May 2019
Audio Caption in a Car Setting with a Sentence-Level Loss
Audio Caption in a Car Setting with a Sentence-Level Loss
Xuenan Xu
Heinrich Dinkel
Mengyue Wu
Kai Yu
24
2
0
31 May 2019
Constructive Type-Logical Supertagging with Self-Attention Networks
Constructive Type-Logical Supertagging with Self-Attention Networks
Konstantinos Kogkalidis
M. Moortgat
Tejaswini Deoskar
NAI
17
15
0
31 May 2019
Improving Open Information Extraction via Iterative Rank-Aware Learning
Improving Open Information Extraction via Iterative Rank-Aware Learning
Zhengbao Jiang
Pengcheng Yin
Graham Neubig
58
11
0
31 May 2019
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement
  Learning
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning
Tahira Naseem
Abhishek Shah
Hui Wan
Radu Florian
Salim Roukos
Miguel Ballesteros
80
59
0
31 May 2019
A Lightweight Recurrent Network for Sequence Modeling
A Lightweight Recurrent Network for Sequence Modeling
Biao Zhang
Rico Sennrich
58
7
0
30 May 2019
Neural Entropic Estimation: A faster path to mutual information
  estimation
Neural Entropic Estimation: A faster path to mutual information estimation
Chung Chan
Ali Al-Bashabsheh
Hingpang Huang
Michael Lim
D. Tam
Chao Zhao
59
22
0
30 May 2019
A Compare-Aggregate Model with Latent Clustering for Answer Selection
A Compare-Aggregate Model with Latent Clustering for Answer Selection
Seunghyun Yoon
Franck Dernoncourt
Doo Soon Kim
Trung Bui
Kyomin Jung
72
69
0
30 May 2019
Adapting Text Embeddings for Causal Inference
Adapting Text Embeddings for Causal Inference
Victor Veitch
Dhanya Sridhar
David M. Blei
CML
61
21
0
29 May 2019
Defending Against Neural Fake News
Defending Against Neural Fake News
Rowan Zellers
Ari Holtzman
Hannah Rashkin
Yonatan Bisk
Ali Farhadi
Franziska Roesner
Yejin Choi
AAML
149
1,035
0
29 May 2019
Towards better substitution-based word sense induction
Towards better substitution-based word sense induction
Asaf Amrami
Yoav Goldberg
100
40
0
29 May 2019
Regularization Advantages of Multilingual Neural Language Models for Low
  Resource Domains
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains
Navid Rekabsaz
Nikolaos Pappas
James Henderson
B. K. Khonglah
S. Madikeri
46
1
0
29 May 2019
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question
  Answering Forums
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
P. Niewinski
A. Wawer
M. Pszona
M. Janicka
KELM
52
5
0
29 May 2019
Learning Task-specific Representation for Novel Words in Sequence
  Labeling
Learning Task-specific Representation for Novel Words in Sequence Labeling
Minlong Peng
Qi Zhang
Xiaoyu Xing
Tao Gui
Jinlan Fu
Xuanjing Huang
70
8
0
29 May 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSLAI4CE
133
1,423
0
29 May 2019
On Variational Learning of Controllable Representations for Text without
  Supervision
On Variational Learning of Controllable Representations for Text without Supervision
Peng Xu
Jackie C.K. Cheung
Yanshuai Cao
SSLDRL
70
9
0
28 May 2019
A Cross-Domain Transferable Neural Coherence Model
A Cross-Domain Transferable Neural Coherence Model
Peng Xu
H. Saghir
Jin Sung Kang
Teng Long
A. Bose
Yanshuai Cao
Jackie C.K. Cheung
109
46
0
28 May 2019
Why gradient clipping accelerates training: A theoretical justification
  for adaptivity
Why gradient clipping accelerates training: A theoretical justification for adaptivity
J.N. Zhang
Tianxing He
S. Sra
Ali Jadbabaie
88
470
0
28 May 2019
Interpreting and improving natural-language processing (in machines)
  with natural language-processing (in the brain)
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva
Leila Wehbe
MILMAI4CE
106
234
0
28 May 2019
DSReg: Using Distant Supervision as a Regularizer
DSReg: Using Distant Supervision as a Regularizer
Yuxian Meng
Muyu Li
Xiaoya Li
Wei Wu
Jiwei Li
73
3
0
28 May 2019
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and
  Question Answering
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering
Jasdeep Singh
Bryan McCann
N. Keskar
Caiming Xiong
R. Socher
ELM
81
81
0
27 May 2019
Using Neural Networks for Relation Extraction from Biomedical Literature
Using Neural Networks for Relation Extraction from Biomedical Literature
Diana Sousa
Andre Lamurias
Francisco M. Couto
59
12
0
27 May 2019
QuesNet: A Unified Representation for Heterogeneous Test Questions
QuesNet: A Unified Representation for Heterogeneous Test Questions
Yu Yin
Qi Liu
Zhenya Huang
Enhong Chen
Wei Tong
Shijin Wang
Yu-Ho Su
28
47
0
27 May 2019
Extreme Multi-Label Legal Text Classification: A case study in EU
  Legislation
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation
Ilias Chalkidis
Manos Fergadiotis
Prodromos Malakasiotis
Nikolaos Aletras
Ion Androutsopoulos
AILaw
73
75
0
26 May 2019
Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads
  Identification and Resolution
Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution
Yanai Elazar
Yoav Goldberg
108
23
0
26 May 2019
Evaluation of basic modules for isolated spelling error correction in
  Polish texts
Evaluation of basic modules for isolated spelling error correction in Polish texts
Szymon Rutkowski
20
0
0
26 May 2019
TACAM: Topic And Context Aware Argument Mining
TACAM: Topic And Context Aware Argument Mining
Michael Fromm
Evgeniy Faerman
T. Seidl
75
25
0
26 May 2019
Human vs. Muppet: A Conservative Estimate of Human Performance on the
  GLUE Benchmark
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
Nikita Nangia
Samuel R. Bowman
ELMALM
84
76
0
24 May 2019
Incorporating Context and External Knowledge for Pronoun Coreference
  Resolution
Incorporating Context and External Knowledge for Pronoun Coreference Resolution
Hongming Zhang
Yan Song
Yangqiu Song
65
31
0
24 May 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
390
1,563
0
24 May 2019
Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor
Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor
Malvina Nissim
Rik van Noord
Rob van der Goot
FaML
90
103
0
23 May 2019
Misspelling Oblivious Word Embeddings
Misspelling Oblivious Word Embeddings
Bora Edizel
Aleksandra Piktus
Piotr Bojanowski
Rui A. Ferreira
Edouard Grave
Fabrizio Silvestri
74
64
0
23 May 2019
An Investigation of Transfer Learning-Based Sentiment Analysis in
  Japanese
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese
Enkhbold Bataa
Joshua Wu
78
33
0
23 May 2019
AMSI-Based Detection of Malicious PowerShell Code Using Contextual
  Embeddings
AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings
Amir Rubin
Shay Kels
Danny Hendler
57
2
0
23 May 2019
Deeper Text Understanding for IR with Contextual Neural Language
  Modeling
Deeper Text Understanding for IR with Contextual Neural Language Modeling
Zhuyun Dai
Jamie Callan
78
449
0
22 May 2019
Retrieving Multi-Entity Associations: An Evaluation of Combination Modes
  for Word Embeddings
Retrieving Multi-Entity Associations: An Evaluation of Combination Modes for Word Embeddings
Gloria Feher
Andreas Spitz
Michael Gertz
8
0
0
22 May 2019
Sample Efficient Text Summarization Using a Single Pre-Trained
  Transformer
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer
Urvashi Khandelwal
Kevin Clark
Dan Jurafsky
Lukasz Kaiser
92
80
0
21 May 2019
Why Machines Cannot Learn Mathematics, Yet
Why Machines Cannot Learn Mathematics, Yet
André Greiner-Petter
Terry Ruas
M. Schubotz
Akiko Aizawa
W. Grosky
Bela Gipp
41
8
0
20 May 2019
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