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EMNLP - 2018
Total Papers:- 1046
Total Papers accross all years:- 12236
Total Citations :- 470
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Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
Steffen Eger |
Paul Youssef |
Iryna Gurevych |
Hard Non-Monotonic Attention for Character-Level Transduction
Shijie Wu |
Pamela Shapiro |
Ryan Cotterell |
Speed Reading: Learning to Read ForBackward via Shuttle
Tsu-Jui Fu |
Wei-Yun Ma |
Chargrid: Towards Understanding 2D Documents
Anoop R Katti |
Christian Reisswig |
Cordula Guder |
Sebastian Brarda |
Steffen Bickel |
Johannes Höhne |
Jean Baptiste Faddoul |
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
Canjia Li |
Yingfei Sun |
Ben He |
Le Wang |
Kai Hui |
Andrew Yates |
Le Sun |
Jungang Xu |
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences
Yi Tay |
Anh Tuan Luu |
Siu Cheung Hui |
Spherical Latent Spaces for Stable Variational Autoencoders
Jiacheng Xu |
Greg Durrett |
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
Minghua Zhang |
Yunfang Wu |
Weikang Li |
Wei Li |
Multilingual Clustering of Streaming News
Sebastião Miranda |
Artūrs Znotiņš |
Shay B. Cohen |
Guntis Barzdins |
Multi-Task Label Embedding for Text Classification
Honglun Zhang |
Liqiang Xiao |
Wenqing Chen |
Yongkun Wang |
Yaohui Jin |
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
Junyang Lin |
Qi Su |
Pengcheng Yang |
Shuming Ma |
Xu Sun |
MCapsNet: Capsule Network for Text with Multi-Task Learning
Liqiang Xiao |
Honglun Zhang |
Wenqing Chen |
Yongkun Wang |
Yaohui Jin |
Uncertainty-aware generative models for inferring document class prevalence
Katherine Keith |
Brendan O’Connor |
Challenges of Using Text Classifiers for Causal Inference
Zach Wood-Doughty |
Ilya Shpitser |
Mark Dredze |
Direct Output Connection for a High-Rank Language Model
Sho Takase |
Jun Suzuki |
Masaaki Nagata |
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