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Character Eyes: Seeing Language through Character-Level Taggers

Character Eyes: Seeing Language through Character-Level Taggers

12 March 2019
Yuval Pinter
Marc Marone
Jacob Eisenstein
ArXiv (abs)PDFHTML

Papers citing "Character Eyes: Seeing Language through Character-Level Taggers"

9 / 9 papers shown
Title
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in
  Deep NLP Models
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
Fahim Dalvi
Nadir Durrani
Hassan Sajjad
Yonatan Belinkov
A. Bau
James R. Glass
MILM
64
192
0
21 Dec 2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do
  They Discover Linguistic Rules?
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin
Kris Demuynck
J. Dambre
W. D. Neve
T. Demeester
AI4CE
63
17
0
28 Aug 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
233
11,565
0
15 Feb 2018
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
Emmanuel Dupoux
Yoav Goldberg
108
906
0
04 Nov 2016
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAISSLVLM
232
9,980
0
15 Jul 2016
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term
  Memory Models and Auxiliary Loss
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
Barbara Plank
Anders Søgaard
Yoav Goldberg
54
409
0
19 Apr 2016
Neural Architectures for Named Entity Recognition
Neural Architectures for Named Entity Recognition
Guillaume Lample
Miguel Ballesteros
Sandeep Subramanian
Kazuya Kawakami
Chris Dyer
228
4,016
0
04 Mar 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCVDRLBDL
189
1,650
0
16 Dec 2015
Visualizing and Understanding Recurrent Networks
Visualizing and Understanding Recurrent Networks
A. Karpathy
Justin Johnson
Li Fei-Fei
HAI
130
1,102
0
05 Jun 2015
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