Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Attention Based LSTM for Target Dependent Sentiment Classification.
Target-Dependent Sentiment Classification with Long Short Term Memory.
Sentiment classification using Comprehensive Attention Recurrent models
Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification
Sentiment Analysis with Long Short-Term Memory networks
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis
Adaptive Attention Network for Review Sentiment Classification
Target-dependent Twitter Sentiment Classification
Lexicon Integrated CNN Models with Attention for Sentiment Analysis
A Dependency Tree Based Approach for Sentence-Level Sentiment Classification
Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Aspect Based Sentiment Analysis with Gated Convolutional Networks
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification
Text sentiment analysis based on long short-term memory
Comparative Study of CNN and LSTM based Attention Neural Networks for Aspect-Level Opinion Mining
Fine-grained Sentiment Analysis of Chinese Reviews Using LSTM Network
Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing
Interactive Attention Networks for Aspect-Level Sentiment Classification
Effective Attention Modeling for Aspect-Level Sentiment Classification
Gated neural networks for targeted sentiment analysis
Learning distributed representations of concepts.
Effectiveness of aripiprazole, olanzapine, quetiapine, and risperidone augmentation treatment for major depressive disorder: a nationwide population-based study.
An overview of relations among causal modelling methods
Eye Movement Abnormalities in Multiple Sclerosis
Current Advances in the Biochemical and Physiological Aspects of the Treatment of Type 2 Diabetes Mellitus with Thiazolidinediones