Papers
Towards a Universal Sentiment Classifier in Multiple languages
Kui Xu, Xiaojun Wan
Identifying Humor in Reviews using Background Text Sources
Alex Morales, Chengxiang Zhai
Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal
Aniruddha Ghosh, Tony Veale
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews
Lahari Poddar, Wynne Hsu, Mong Li Lee
A Cognition Based Attention Model for Sentiment Analysis
Yunfei Long, Qin Lu, Rong Xiang et al.
Recurrent Attention Network on Memory for Aspect Sentiment Analysis
Peng Chen, Zhongqian Sun, Lidong Bing et al.
Why ADAGRAD Fails for Online Topic Modeling
You Lu, Jeffrey Lund, Jordan Boyd-Graber
Sparse Communication for Distributed Gradient Descent
Alham Fikri Aji, Kenneth Heafield
Learning the Structure of Variable-Order CRFs: a finite-state perspective
Thomas Lavergne, François Yvon
Piecewise Latent Variables for Neural Variational Text Processing
Iulian Vlad Serban, Alexander G. Ororbia, Joelle Pineau et al.
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis, Tommi Jaakkola
Rotated Word Vector Representations and their Interpretability
Sungjoon Park, JinYeong Bak, Alice Oh
Efficient Attention using a Fixed-Size Memory Representation
Denny Britz, Melody Guan, Minh-Thang Luong
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran, Peter Liu, Quoc Le
Learning to select data for transfer learning with Bayesian Optimization
Sebastian Ruder, Barbara Plank
Incremental Skip-gram Model with Negative Sampling
Nobuhiro Kaji, Hayato Kobayashi
Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins, Julia Kreutzer
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
Nils Reimers, Iryna Gurevych
MUSE: Modularizing Unsupervised Sense Embeddings
Guang-He Lee, Yun-Nung Chen
Word Re-Embedding via Manifold Dimensionality Retention
Souleiman Hasan, Edward Curry
VecShare: A Framework for Sharing Word Representation Vectors
Jared Fernandez, Zhaocheng Yu, Doug Downey
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding
Joseph Sanu, Mingbin Xu, Hui Jiang et al.
High-risk learning: acquiring new word vectors from tiny data
Aurélie Herbelot, Marco Baroni