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Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval
Xiaodong Liu
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Jianfeng Gao
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Xiaodong He
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Li Deng
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Kevin Duh
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Ye-yi Wang
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
Joint Learning from Labeled and Unlabeled Data for Information Retrieval
Bo Li
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Ping Cheng
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Le Jia
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Multi-Task Neural Models for Translating Between Styles Within and Across Languages
Xing Niu
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Sudha Rao
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Marine Carpuat
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Learning What to Share: Leaky Multi-Task Network for Text Classification
Liqiang Xiao
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Honglun Zhang
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Wenqing Chen
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Yongkun Wang
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Yaohui Jin
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Multi-task and Multi-lingual Joint Learning of Neural Lexical Utterance Classification based on Partially-shared Modeling
Ryo Masumura
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Tomohiro Tanaka
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Ryuichiro Higashinaka
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Hirokazu Masataki
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Yushi Aono
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Open-Domain Name Error Detection using a Multi-Task RNN
Hao Cheng
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Hao Fang
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Mari Ostendorf
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Deep Multi-Task Learning with Shared Memory for Text Classification
Pengfei Liu
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Xipeng Qiu
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Xuanjing Huang
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Multi-Granularity Chinese Word Embedding
Rongchao Yin
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Quan Wang
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Peng Li
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Rui Li
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Bin Wang
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Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition
Changxing Wu
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Xiaodong Shi
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Yidong Chen
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Yanzhou Huang
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Jinsong Su
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Extractive Summarization Using Multi-Task Learning with Document Classification
Masaru Isonuma
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Toru Fujino
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Junichiro Mori
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Yutaka Matsuo
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Ichiro Sakata
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Convolutional Interaction Network for Natural Language Inference
Jingjing Gong
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Xipeng Qiu
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Xinchi Chen
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Dong Liang
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Xuanjing Huang
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Legal Judgment Prediction via Topological Learning
Haoxi Zhong
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Zhipeng Guo
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Cunchao Tu
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Chaojun Xiao
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Zhiyuan Liu
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Maosong Sun
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Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning
Shang-Yu Su
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Xiujun Li
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Jianfeng Gao
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Jingjing Liu
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Yun-Nung Chen
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Multi-Task Label Embedding for Text Classification
Honglun Zhang
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Liqiang Xiao
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Wenqing Chen
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Yongkun Wang
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Yaohui Jin
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MCapsNet: Capsule Network for Text with Multi-Task Learning
Liqiang Xiao
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Honglun Zhang
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Wenqing Chen
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Yongkun Wang
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Yaohui Jin
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Learning and Knowledge Transfer with Memory Networks for Machine Comprehension
Mohit Yadav
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Lovekesh Vig
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Gautam Shroff
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Effective shared representations with Multitask Learning for Community Question Answering
Daniele Bonadiman
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Antonio Uva
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Alessandro Moschitti
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Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models
Yi Luan
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Chris Brockett
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Bill Dolan
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Jianfeng Gao
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Michel Galley
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Deep Automated Multi-task Learning
Davis Liang
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Yan Shu
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Lexical Simplification with the Deep Structured Similarity Model
Lis Pereira
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Xiaodong Liu
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John Lee
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Model Transfer with Explicit Knowledge of the Relation between Class Definitions
Hiyori Yoshikawa
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Tomoya Iwakura
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Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem
Sven Buechel
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Udo Hahn
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Adversarial Multi-task Learning for Text Classification
Pengfei Liu
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Xipeng Qiu
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Xuanjing Huang
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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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http://www.csie.ntu.edu.tw/
Field Of Study
Task
Named Entity Recognition
Relation Extraction
Machine Translation
Approach
Representation Learning
Language
English
Dataset
Query Logs
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