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A Survey On Neural Word Embeddings

A Survey On Neural Word Embeddings

5 October 2021
Erhan Sezerer
Selma Tekir
    AI4TS
ArXivPDFHTML

Papers citing "A Survey On Neural Word Embeddings"

50 / 55 papers shown
Title
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
546
41,106
0
28 May 2020
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
234
146
0
16 Mar 2020
A Primer in BERTology: What we know about how BERT works
A Primer in BERTology: What we know about how BERT works
Anna Rogers
Olga Kovaleva
Anna Rumshisky
OffRL
76
1,489
0
27 Feb 2020
PIQA: Reasoning about Physical Commonsense in Natural Language
PIQA: Reasoning about Physical Commonsense in Natural Language
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
OOD
LRM
103
1,724
0
26 Nov 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
292
6,420
0
26 Sep 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for
  Vision-and-Language Tasks
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu
Dhruv Batra
Devi Parikh
Stefan Lee
SSL
VLM
210
3,659
0
06 Aug 2019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Yu Sun
Shuohuan Wang
Yukun Li
Shikun Feng
Hao Tian
Hua Wu
Haifeng Wang
CLL
77
804
0
29 Jul 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
469
24,160
0
26 Jul 2019
Morphological Word Embeddings
Morphological Word Embeddings
Ryan Cotterell
Hinrich Schütze
30
101
0
04 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
201
8,386
0
19 Jun 2019
ERNIE: Enhanced Representation through Knowledge Integration
ERNIE: Enhanced Representation through Knowledge Integration
Yu Sun
Shuohuan Wang
Yukun Li
Shikun Feng
Xuyi Chen
Han Zhang
Xin Tian
Danxiang Zhu
Hao Tian
Hua Wu
112
898
0
19 Apr 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
163
3,714
0
09 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.2K
93,936
0
11 Oct 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALM
ELM
221
2,830
0
11 Jun 2018
Diachronic word embeddings and semantic shifts: a survey
Diachronic word embeddings and semantic shifts: a survey
Andrey Kutuzov
Lilja Øvrelid
Terrence Szymanski
Erik Velldal
AI4TS
48
301
0
09 Jun 2018
Neural Network Acceptability Judgments
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
194
1,390
0
31 May 2018
From Word to Sense Embeddings: A Survey on Vector Representations of
  Meaning
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
Jose Camacho-Collados
Mohammad Taher Pilehvar
66
337
0
10 May 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
761
7,080
0
20 Apr 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
145
11,520
0
15 Feb 2018
A Survey of Word Embeddings Evaluation Methods
A Survey of Word Embeddings Evaluation Methods
Amir Bakarov
55
183
0
21 Jan 2018
Making Sense of Word Embeddings
Making Sense of Word Embeddings
Maria Pelevina
Nikolay Arefiev
Chris Biemann
Alexander Panchenko
SSL
50
135
0
10 Aug 2017
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
111
907
0
01 Aug 2017
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and
  Cross-lingual Focused Evaluation
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
Daniel Cer
Mona T. Diab
Eneko Agirre
I. Lopez-Gazpio
Lucia Specia
270
1,870
0
31 Jul 2017
Hierarchical Embeddings for Hypernymy Detection and Directionality
Hierarchical Embeddings for Hypernymy Detection and Directionality
K. Nguyen
Maximilian Köper
Sabine Schulte im Walde
Ngoc Thang Vu
49
104
0
23 Jul 2017
A Mixture Model for Learning Multi-Sense Word Embeddings
A Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen
Dat Quoc Nguyen
Ashutosh Modi
Stefan Thater
Manfred Pinkal
42
38
0
15 Jun 2017
A Survey Of Cross-lingual Word Embedding Models
A Survey Of Cross-lingual Word Embedding Models
Sebastian Ruder
Ivan Vulić
Anders Søgaard
74
529
0
15 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
524
129,831
0
12 Jun 2017
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple
  Language-Specific Rules
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules
Ivan Vulić
N. Mrksic
Roi Reichart
Diarmuid Ó Séaghdha
S. Young
Anna Korhonen
49
48
0
01 Jun 2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for
  Reading Comprehension
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi
Eunsol Choi
Daniel S. Weld
Luke Zettlemoyer
RALM
183
2,610
0
09 May 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
456
4,444
0
18 Apr 2017
RACE: Large-scale ReAding Comprehension Dataset From Examinations
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai
Qizhe Xie
Hanxiao Liu
Yiming Yang
Eduard H. Hovy
ELM
148
1,329
0
15 Apr 2017
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
200
9,944
0
15 Jul 2016
The LAMBADA dataset: Word prediction requiring a broad discourse context
The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno
Germán Kruszewski
Angeliki Lazaridou
Q. N. Pham
Raffaella Bernardi
Sandro Pezzelle
Marco Baroni
Gemma Boleda
Raquel Fernández
106
698
0
20 Jun 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
184
8,067
0
16 Jun 2016
A Joint Model for Word Embedding and Word Morphology
A Joint Model for Word Embedding and Word Morphology
Kris Cao
Marek Rei
29
88
0
08 Jun 2016
Integrating Distributional Lexical Contrast into Word Embeddings for
  Antonym-Synonym Distinction
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction
K. Nguyen
Sabine Schulte im Walde
Ngoc Thang Vu
32
141
0
25 May 2016
Counter-fitting Word Vectors to Linguistic Constraints
Counter-fitting Word Vectors to Linguistic Constraints
N. Mrksic
Diarmuid Ó Séaghdha
Blaise Thomson
Milica Gasic
L. Rojas-Barahona
Pei-hao Su
David Vandyke
Tsung-Hsien Wen
S. Young
71
483
0
02 Mar 2016
Stacked Attention Networks for Image Question Answering
Stacked Attention Networks for Image Question Answering
Zichao Yang
Xiaodong He
Jianfeng Gao
Li Deng
Alex Smola
BDL
101
1,875
0
07 Nov 2015
Semi-supervised Sequence Learning
Semi-supervised Sequence Learning
Andrew M. Dai
Quoc V. Le
SSL
120
1,232
0
04 Nov 2015
Character-Aware Neural Language Models
Character-Aware Neural Language Models
Yoon Kim
Yacine Jernite
David Sontag
Alexander M. Rush
81
1,665
0
26 Aug 2015
Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models
  of Meaning
Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning
Jianpeng Cheng
Dimitri Kartsaklis
CoGe
53
74
0
10 Aug 2015
Finding Function in Form: Compositional Character Models for Open
  Vocabulary Word Representation
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
Wang Ling
Tiago Luís
Luís Marujo
Ramón Fernández Astudillo
Silvio Amir
Chris Dyer
A. Black
Isabel Trancoso
CoGe
56
642
0
09 Aug 2015
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and
  Lexemes
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
S. Rothe
Hinrich Schütze
42
285
0
04 Jul 2015
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li
Dan Jurafsky
60
234
0
02 Jun 2015
Efficient Non-parametric Estimation of Multiple Embeddings per Word in
  Vector Space
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
Arvind Neelakantan
Jeevan Shankar
Alexandre Passos
Andrew McCallum
65
464
0
24 Apr 2015
A Simple and Efficient Method To Generate Word Sense Representations
A Simple and Efficient Method To Generate Word Sense Representations
Luis Nieto Piña
Richard Johansson
35
19
0
18 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
422
27,205
0
01 Sep 2014
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity
  Estimation
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation
Felix Hill
Roi Reichart
Anna Korhonen
84
1,304
0
15 Aug 2014
Compositional Morphology for Word Representations and Language Modelling
Compositional Morphology for Word Representations and Language Modelling
Jan A. Botha
Phil Blunsom
72
253
0
16 May 2014
Word Emdeddings through Hellinger PCA
Word Emdeddings through Hellinger PCA
R. Lebret
R. Collobert
70
230
0
19 Dec 2013
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