Papers
Towards Lossless Encoding of Sentences
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar et al.
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization
Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai et al.
Soft Representation Learning for Sparse Transfer
Haeju Park, Jinyoung Yeo, Gengyu Wang et al.
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Wei Zhao, Haiyun Peng, Steffen Eger et al.
A Lightweight Recurrent Network for Sequence Modeling
Biao Zhang, Rico Sennrich
Exact Hard Monotonic Attention for Character-Level Transduction
Shijie Wu, Ryan Cotterell
On the Robustness of Self-Attentive Models
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan et al.
Sparse Sequence-to-Sequence Models
Ben Peters, Vlad Niculae, André F. T. Martins
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Yi Tay, Aston Zhang, Anh Tuan Luu et al.
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
Hongyin Luo, Lan Jiang, Yonatan Belinkov et al.
Training Hybrid Language Models by Marginalizing over Segmentations
Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski et al.
Improved Language Modeling by Decoding the Past
Siddhartha Brahma
A Neural Multi-digraph Model for Chinese NER with Gazetteers
Ruixue Ding, Pengjun Xie, Xiaoyan Zhang et al.
Multi-Channel Graph Neural Network for Entity Alignment
Yixin Cao, Zhiyuan Liu, Chengjiang Li et al.
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu et al.
Multi-grained Named Entity Recognition
Congying Xia, Chenwei Zhang, Tao Yang et al.
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
Shun Zheng, Xu Han, Yankai Lin et al.
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification
Wei Jia, Dai Dai, Xinyan Xiao et al.
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Christoph Alt, Marc Hübner, Leonhard Hennig
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
Étienne Simon, Vincent Guigue, Benjamin Piwowarski
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Haoyu Wang, Ming Tan, Mo Yu et al.
Joint Type Inference on Entities and Relations via Graph Convolutional Networks
Changzhi Sun, Yeyun Gong, Yuanbin Wu et al.
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
Wei Ye, Bo Li, Rui Xie et al.
Entity-Relation Extraction as Multi-Turn Question Answering
Xiaoya Li, Fan Yin, Zijun Sun et al.