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An Exploration of Word Embedding Initialization in Deep-Learning Tasks

An Exploration of Word Embedding Initialization in Deep-Learning Tasks

24 November 2017
Tom Kocmi
Ondrej Bojar
ArXivPDFHTML

Papers citing "An Exploration of Word Embedding Initialization in Deep-Learning Tasks"

5 / 5 papers shown
Title
An Analysis on the Learning Rules of the Skip-Gram Model
An Analysis on the Learning Rules of the Skip-Gram Model
Canlin Zhang
Xiuwen Liu
Daniel Bis
NAI
12
11
0
18 Mar 2020
Exploring Benefits of Transfer Learning in Neural Machine Translation
Exploring Benefits of Transfer Learning in Neural Machine Translation
Tom Kocmi
14
17
0
06 Jan 2020
Dynamic Meta-Embeddings for Improved Sentence Representations
Dynamic Meta-Embeddings for Improved Sentence Representations
Douwe Kiela
Changhan Wang
Kyunghyun Cho
AI4TS
28
108
0
21 Apr 2018
A Survey of Word Embeddings Evaluation Methods
A Survey of Word Embeddings Evaluation Methods
Amir Bakarov
6
183
0
21 Jan 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
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