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EMNLP - 2018
Total Papers:- 1046
Total Papers accross all years:- 12236
Total Citations :- 470
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Generating Natural Language Adversarial Examples
Moustafa Alzantot |
Yash Sharma |
Ahmed Elgohary |
Bo-Jhang Ho |
Mani Srivastava |
Kai-Wei Chang |
Multi-Head Attention with Disagreement Regularization
Jian Li |
Zhaopeng Tu |
Baosong Yang |
Michael R. Lyu |
Tong Zhang |
Fixing Translation Divergences in Parallel Corpora for Neural MT
MinhQuang Pham |
Josep Crego |
Jean Senellart |
François Yvon |
Adversarial Evaluation of Multimodal Machine Translation
Desmond Elliott |
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation
Yilin Yang |
Liang Huang |
Mingbo Ma |
Learning Neural Templates for Text Generation
Sam Wiseman |
Stuart Shieber |
Alexander Rush |
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter
Lijun Wu |
Xu Tan |
Di He |
Fei Tian |
Tao Qin |
Jianhuang Lai |
Tie-Yan Liu |
A Study of Reinforcement Learning for Neural Machine Translation
Lijun Wu |
Fei Tian |
Tao Qin |
Jianhuang Lai |
Tie-Yan Liu |
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data
Guanghui Qin |
Jin-Ge Yao |
Xuening Wang |
Jinpeng Wang |
Chin-Yew Lin |
Paraphrase Generation with Deep Reinforcement Learning
Zichao Li |
Xin Jiang |
Lifeng Shang |
Hang Li |
Incorporating Background Knowledge into Video Description Generation
Spencer Whitehead |
Heng Ji |
Mohit Bansal |
Shih-Fu Chang |
Clare Voss |
Entity-aware Image Caption Generation
Di Lu |
Spencer Whitehead |
Lifu Huang |
Heng Ji |
Shih-Fu Chang |
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Yaushian Wang |
Hung-Yi Lee |
Exploiting Deep Representations for Neural Machine Translation
Zi-Yi Dou |
Zhaopeng Tu |
Xing Wang |
Shuming Shi |
Tong Zhang |
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
Jingjing Xu |
Xuancheng Ren |
Yi Zhang |
Qi Zeng |
Xiaoyan Cai |
Xu Sun |
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