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What can we learn from Semantic Tagging?

What can we learn from Semantic Tagging?

29 August 2018
Mostafa Abdou
Artur Kulmizev
Vinit Ravishankar
Lasha Abzianidze
Johan Bos
    FedML
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Papers citing "What can we learn from Semantic Tagging?"

16 / 16 papers shown
Title
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
55
164
0
23 Jan 2018
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer
  Ordering
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Elliot Meyerson
Risto Miikkulainen
MoE
67
93
0
31 Oct 2017
Towards Universal Semantic Tagging
Towards Universal Semantic Tagging
Lasha Abzianidze
Johan Bos
47
41
0
29 Sep 2017
Latent Multi-task Architecture Learning
Latent Multi-task Architecture Learning
Sebastian Ruder
Joachim Bingel
Isabelle Augenstein
Anders Søgaard
CVBM
57
171
0
23 May 2017
The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations
  Annotated with Compositional Meaning Representations
The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations
Lasha Abzianidze
Johannes Bjerva
Kilian Evang
Hessel Haagsma
Rik van Noord
Pierre Ludmann
Duc-Duy Nguyen
Johan Bos
3DV
43
159
0
13 Feb 2017
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications
  in Person Attribute Classification
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
52
387
0
16 Nov 2016
Deep Biaffine Attention for Neural Dependency Parsing
Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat
Christopher D. Manning
111
1,221
0
06 Nov 2016
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
Caiming Xiong
Yoshimasa Tsuruoka
R. Socher
KELM
78
575
0
05 Nov 2016
Semantic Tagging with Deep Residual Networks
Semantic Tagging with Deep Residual Networks
Johannes Bjerva
Barbara Plank
Johan Bos
VLM
SSeg
45
78
0
22 Sep 2016
Enhanced LSTM for Natural Language Inference
Enhanced LSTM for Natural Language Inference
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Si Wei
Hui Jiang
Diana Inkpen
LRM
ReLM
97
1,129
0
20 Sep 2016
Recurrent Neural Network for Text Classification with Multi-Task
  Learning
Recurrent Neural Network for Text Classification with Multi-Task Learning
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
100
1,287
0
17 May 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
47
409
0
19 Apr 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
87
1,347
0
12 Apr 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
310
4,284
0
21 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
A Model of Inductive Bias Learning
A Model of Inductive Bias Learning
Jonathan Baxter
103
1,213
0
01 Jun 2011
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