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Syntax Representation in Word Embeddings and Neural Networks -- A Survey

Syntax Representation in Word Embeddings and Neural Networks -- A Survey

2 October 2020
Tomasz Limisiewicz
David Marecek
    NAI
ArXivPDFHTML

Papers citing "Syntax Representation in Word Embeddings and Neural Networks -- A Survey"

14 / 14 papers shown
Title
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Suraj Anand
Michael A. Lepori
Jack Merullo
Ellie Pavlick
CLL
88
8
0
28 May 2024
Finding Universal Grammatical Relations in Multilingual BERT
Finding Universal Grammatical Relations in Multilingual BERT
Ethan A. Chi
John Hewitt
Christopher D. Manning
43
151
0
09 May 2020
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
247
150
0
16 Mar 2020
Are Pre-trained Language Models Aware of Phrases? Simple but Strong
  Baselines for Grammar Induction
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction
Taeuk Kim
Jihun Choi
Daniel Edmiston
Sang-goo Lee
62
90
0
30 Jan 2020
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
Yuxuan Wang
Wanxiang Che
Jiang Guo
Yijia Liu
Ting Liu
53
118
0
15 Sep 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
215
1,598
0
11 Jun 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy
  Lifting, the Rest Can Be Pruned
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
111
1,141
0
23 May 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
121
733
0
21 Mar 2019
Word Embeddings: A Survey
Word Embeddings: A Survey
Felipe Almeida
Geraldo Xexéo
65
201
0
25 Jan 2019
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
211
11,556
0
15 Feb 2018
Evaluating Layers of Representation in Neural Machine Translation on
  Part-of-Speech and Semantic Tagging Tasks
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks
Yonatan Belinkov
Lluís Màrquez i Villodre
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
60
164
0
23 Jan 2018
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
117
909
0
01 Aug 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
520
4,479
0
18 Apr 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
103
414
0
11 Apr 2017
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