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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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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Adversarial Multi-lingual Neural Relation Extraction
Xiaozhi Wang
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Xu Han
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Yankai Lin
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Zhiyuan Liu
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Maosong Sun
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A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu
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Rui Wang
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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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Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination
Jiali Zeng
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Jinsong Su
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Huating Wen
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Yang Liu
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Jun Xie
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Yongjing Yin
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Jianqiang Zhao
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Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification
Ryo Masumura
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Yusuke Shinohara
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Ryuichiro Higashinaka
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Yushi Aono
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Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network
Jianfei Yu
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Luís Marujo
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Jing Jiang
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Pradeep Karuturi
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William Brendel
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Learning Neural Representation for CLIR with Adversarial Framework
Bo Li
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Ping Cheng
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Topic Memory Networks for Short Text Classification
Jichuan Zeng
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Jing Li
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Yan Song
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Cuiyun Gao
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Michael R. Lyu
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Irwin King
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Cross-topic Argument Mining from Heterogeneous Sources
Christian Stab
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Tristan Miller
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Benjamin Schiller
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Pranav Rai
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Iryna Gurevych
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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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SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling
Ana Marasović
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Anette Frank
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Multinomial Adversarial Networks for Multi-Domain Text Classification
Xilun Chen
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Claire Cardie
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Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces
Isabelle Augenstein
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Sebastian Ruder
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Anders Søgaard
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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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Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment
Shweta Yadav
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Asif Ekbal
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Sriparna Saha
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Pushpak Bhattacharyya
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Amit Sheth
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Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators
Cen Chen
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Yinfei Yang
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Jun Zhou
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Xiaolong Li
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Forrest Sheng Bao
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Sentence-State LSTM for Text Representation
Yue Zhang
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Qi Liu
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Linfeng Song
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Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis
Shuhei Kurita
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Daisuke Kawahara
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Sadao Kurohashi
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A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
Ying Lin
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Shengqi Yang
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Veselin Stoyanov
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Heng Ji
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Strong Baselines for Neural Semi-Supervised Learning under Domain Shift
Sebastian Ruder
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Barbara Plank
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Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce
Minghui Qiu
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Liu Yang
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Feng Ji
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Wei Zhou
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Jun Huang
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Haiqing Chen
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Bruce Croft
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Wei Lin
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Domain Adaptation for Disease Phrase Matching with Adversarial Networks
Miaofeng Liu
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Jialong Han
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Haisong Zhang
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Yan Song
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PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection
Steffen Eger
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Andreas Rücklé
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Iryna Gurevych
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Classification of Medication-Related Tweets Using Stacked Bidirectional LSTMs with Context-Aware Attention
Orest Xherija
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https://doi.org/10.18653/v1/P17-1001
https://doi.org/10.18653/v1/P17-1001
http://nlp.fudan
https://www.cs.jhu.edu/
http://nlp.stanford.edu/software/
https://www.cs.jhu.edu/
https://www.cs.cornell.edu/people/
Field Of Study
Linguistic Trends
Embeddings
Approach
Generative Model
Discriminative Model
Representation Learning
Semi-supervised Learning
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