Papers
Exploring Recombination for Efficient Decoding of Neural Machine Translation
Zhisong Zhang, Rui Wang, Masao Utiyama et al.
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation
Chenze Shao, Xilin Chen, Yang Feng
A Tree-based Decoder for Neural Machine Translation
Xinyi Wang, Hieu Pham, Pengcheng Yin et al.
Interpretable Emoji Prediction via Label-Wise Attention LSTMs
Francesco Barbieri, Luis Espinosa-Anke, Jose Camacho-Collados et al.
Modeling Empathy and Distress in Reaction to News Stories
Sven Buechel, Anneke Buffone, Barry Slaff et al.
A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness
Xiangju Li, Kaisong Song, Shi Feng et al.
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification
Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer
Joint Learning for Targeted Sentiment Analysis
Dehong Ma, Sujian Li, Houfeng Wang
The Importance of Being Recurrent for Modeling Hierarchical Structure
Ke Tran, Arianna Bisazza, Christof Monz
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models
Sedtawut Watcharawittayakul, Mingbin Xu, Hui Jiang
Lexicosyntactic Inference in Neural Models
Aaron Steven White, Rachel Rudinger, Kyle Rawlins et al.
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study
John P. Lalor, Hao Wu, Tsendsuren Munkhdalai et al.
A Neural Model of Adaptation in Reading
Marten van Schijndel, Tal Linzen
Multi-Source Domain Adaptation with Mixture of Experts
Jiang Guo, Darsh Shah, Regina Barzilay
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Sarthak Jain, Edward Banner, Jan-Willem van de Meent et al.
Modeling Online Discourse with Coupled Distributed Topics
Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model
Qile Zhu, Zheng Feng, Xiaolin Li
Siamese Network-Based Supervised Topic Modeling
Minghui Huang, Yanghui Rao, Yuwei Liu et al.
Language Modeling with Sparse Product of Sememe Experts
Yihong Gu, Jun Yan, Hao Zhu et al.
On Tree-Based Neural Sentence Modeling
Haoyue Shi, Hao Zhou, Jiaze Chen et al.
Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari et al.
Disfluency Detection using Auto-Correlational Neural Networks
Paria Jamshid Lou, Peter Anderson, Mark Johnson
Direct Output Connection for a High-Rank Language Model
Sho Takase, Jun Suzuki, Masaaki Nagata
Challenges of Using Text Classifiers for Causal Inference
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Uncertainty-aware generative models for inferring document class prevalence
Katherine Keith, Brendan O’Connor