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EMNLP - 2019
Total Papers:- 1148
Total Papers accross all years:- 12236
Total Citations :- 0
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ARAML: A Stable Adversarial Training Framework for Text Generation
Pei Ke |
Fei Huang |
Minlie Huang |
xiaoyan zhu |
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma |
Chunting Zhou |
Xian Li |
Graham Neubig |
Eduard Hovy |
Compositional Generalization for Primitive Substitutions
Yuanpeng Li |
Liang Zhao |
Jianyu Wang |
Joel Hestness |
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
Vid Kocijan |
Oana-Maria Camburu |
Ana-Maria Cretu |
Yordan Yordanov |
Phil Blunsom |
Thomas Lukasiewicz |
Identifying and Explaining Discriminative Attributes
Armins Stepanjans |
André Freitas |
Patient Knowledge Distillation for BERT Model Compression
Siqi Sun |
Yu Cheng |
Zhe Gan |
Jingjing Liu |
Neural Gaussian Copula for Variational Autoencoder
Prince Zizhuang Wang |
William Yang Wang |
Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel
Yao-Hung Hubert Tsai |
Shaojie Bai |
Makoto Yamada |
Louis-Philippe Morency |
Ruslan Salakhutdinov |
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
Jiawei Wu |
Wenhan Xiong |
William Yang Wang |
Revealing the Dark Secrets of BERT
Olga Kovaleva |
Alexey Romanov |
Anna Rogers |
Anna Rumshisky |
Machine Translation With Weakly Paired Documents
Lijun Wu |
Jinhua Zhu |
Di He |
Fei Gao |
Tao QIN |
Jianhuang Lai |
Tie-Yan Liu |
Countering Language Drift via Visual Grounding
Jason Lee |
Kyunghyun Cho |
Douwe Kiela |
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita |
Rico Sennrich |
Ivan Titov |
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
Ivan Vulić |
Goran Glavaš |
Roi Reichart |
Anna Korhonen |
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings
Haozhou Wang |
James Henderson |
Paola Merlo |
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