Papers
Task-Oriented Query Reformulation with Reinforcement Learning
Rodrigo Nogueira, Kyunghyun Cho
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Wenhan Xiong, Thien Hoang, William Yang Wang
Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association
Yasheng Wang, Yang Zhang, Bing Liu
Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings
Raksha Sharma, Arpan Somani, Lakshya Kumar et al.
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis
Md Shad Akhtar, Abhishek Kumar, Deepanway Ghosal et al.
Refining Word Embeddings for Sentiment Analysis
Liang-Chih Yu, Jin Wang, K. Robert Lai et al.
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters
Min Yang, Jincheng Mei, Heng Ji et al.
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