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Supervised and Semi-Supervised Text Categorization using LSTM for Region
  Embeddings

Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings

7 February 2016
Rie Johnson
Tong Zhang
    AI4TS
ArXivPDFHTML

Papers citing "Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings"

11 / 61 papers shown
Title
Robust Task Clustering for Deep Many-Task Learning
Robust Task Clustering for Deep Many-Task Learning
Mo Yu
Xiaoxiao Guo
Jinfeng Yi
Shiyu Chang
Saloni Potdar
Gerald Tesauro
Haoyu Wang
Bowen Zhou
14
1
0
26 Aug 2017
$k$-Nearest Neighbor Augmented Neural Networks for Text Classification
kkk-Nearest Neighbor Augmented Neural Networks for Text Classification
Zhiguo Wang
Wael Hamza
Linfeng Song
RALM
8
15
0
25 Aug 2017
Deconvolutional Paragraph Representation Learning
Deconvolutional Paragraph Representation Learning
Yizhe Zhang
Dinghan Shen
Guoyin Wang
Zhe Gan
Ricardo Henao
Lawrence Carin
SSL
AI4TS
17
76
0
16 Aug 2017
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
62
907
0
01 Aug 2017
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric Xing
CML
35
82
0
29 May 2017
Content-based Approach for Vietnamese Spam SMS Filtering
Content-based Approach for Vietnamese Spam SMS Filtering
Thai-Hoang Pham
Hong Phuong Le
28
7
0
11 May 2017
Cross-lingual Distillation for Text Classification
Cross-lingual Distillation for Text Classification
Ruochen Xu
Yiming Yang
VLM
19
71
0
05 May 2017
Interpretation of Prediction Models Using the Input Gradient
Interpretation of Prediction Models Using the Input Gradient
Yotam Hechtlinger
FaML
AI4CE
FAtt
16
85
0
23 Nov 2016
Convolutional Neural Networks for Text Categorization: Shallow
  Word-level vs. Deep Character-level
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level
Rie Johnson
Tong Zhang
19
48
0
31 Aug 2016
Adversarial Training Methods for Semi-Supervised Text Classification
Adversarial Training Methods for Semi-Supervised Text Classification
Takeru Miyato
Andrew M. Dai
Ian Goodfellow
GAN
16
1,052
0
25 May 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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