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Aspect-augmented Adversarial Networks for Domain Adaptation
Yuan Zhang
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Regina Barzilay
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Tommi Jaakkola
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Paper Details:
Year: 2017
Venue:
TACL |
Citations
URL
Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training
Zhongyang Li
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Xiao Ding
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Ting Liu
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A Review on Deep Learning Techniques Applied to Answer Selection
Tuan Manh Lai
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Trung Bui
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Sheng Li
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Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation
Greg Durrett
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Jonathan K. Kummerfeld
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Taylor Berg-Kirkpatrick
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Rebecca Portnoff
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Sadia Afroz
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Damon McCoy
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Kirill Levchenko
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Vern Paxson
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Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar
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Yoav Goldberg
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Deriving Machine Attention from Human Rationales
Yujia Bao
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Shiyu Chang
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Mo Yu
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Regina Barzilay
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Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training
Juntao Li
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Yan Song
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Haisong Zhang
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Dongmin Chen
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Shuming Shi
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Dongyan Zhao
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Rui Yan
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Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Sarthak Jain
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Edward Banner
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Jan-Willem van de Meent
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Iain J. Marshall
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Byron C. Wallace
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Multi-Source Domain Adaptation with Mixture of Experts
Jiang Guo
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Darsh Shah
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Regina Barzilay
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Supervised and Unsupervised Transfer Learning for Question Answering
Yu-An Chung
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Hung-Yi Lee
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James Glass
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https://github.com/
https://www.yelp.com/
https://www.tripadvisor.com/
http://www.cse.wustl.edu/
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Approach
Deep Learning
Semi-supervised Learning
Language
English
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