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Rare Words: A Major Problem for Contextualized Embeddings And How to Fix
  it by Attentive Mimicking

Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking

14 April 2019
Timo Schick
Hinrich Schütze
ArXivPDFHTML

Papers citing "Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking"

4 / 4 papers shown
Title
The Natural Language Decathlon: Multitask Learning as Question Answering
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann
N. Keskar
Caiming Xiong
R. Socher
AIMat
MLLM
BDL
85
642
0
20 Jun 2018
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
195
9,944
0
15 Jul 2016
Charagram: Embedding Words and Sentences via Character n-grams
Charagram: Embedding Words and Sentences via Character n-grams
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
NAI
GNN
88
193
0
10 Jul 2016
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
157
7,683
0
31 Aug 2015
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