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EMNLP - 2019
Total Papers:- 1148
Total Papers accross all years:- 12236
Total Citations :- 0
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Fine-tune BERT with Sparse Self-Attention Mechanism
Baiyun Cui |
Yingming Li |
Ming Chen |
Zhongfei Zhang |
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
Lukas Lange |
Michael A. Hedderich |
Dietrich Klakow |
A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation
Hagai Taitelbaum |
Gal Chechik |
Jacob Goldberger |
Out-of-Domain Detection for Low-Resource Text Classification Tasks
Ming Tan |
Yang Yu |
Haoyu Wang |
Dakuo Wang |
Saloni Potdar |
Shiyu Chang |
Mo Yu |
Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer
Yunli Wang |
Yu Wu |
Lili Mou |
Zhoujun Li |
Wenhan Chao |
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training
Chih-Te Lai |
Yi-Te Hong |
Hong-You Chen |
Chi-Jen Lu |
Shou-De Lin |
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition
Yufan Jiang |
Chi Hu |
Tong Xiao |
Chunliang Zhang |
Jingbo Zhu |
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
Esma Balkir |
Masha Naslidnyk |
Dave Palfrey |
Arpit Mittal |
Single Training Dimension Selection for Word Embedding with PCA
Yu Wang |
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Bohan Li |
Junxian He |
Graham Neubig |
Taylor Berg-Kirkpatrick |
Yiming Yang |
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy |
Kyle Lo |
Arman Cohan |
Humor Detection: A Transformer Gets the Last Laugh
Orion Weller |
Kevin Seppi |
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training
Alham Fikri Aji |
Kenneth Heafield |
Nikolay Bogoychev |
Small and Practical BERT Models for Sequence Labeling
Henry Tsai |
Jason Riesa |
Melvin Johnson |
Naveen Arivazhagan |
Xin Li |
Amelia Archer |
Data Augmentation with Atomic Templates for Spoken Language Understanding
Zijian Zhao |
Su Zhu |
Kai Yu |
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Topics
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