Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Combining Statistics-Based and CNN-Based Information for Sentence Classification
Multichannel Variable-Size Convolution for Sentence Classification
Convolutional Neural Network Based Semantic Tagging with Entity Embeddings
Augmenting Naive Bayes Classifiers with Statistical Language Models
Multimodal Convolutional Neural Networks for Matching Image and Sentence
Connecting Supervised and Unsupervised Sentence Embeddings
Relation Classification: CNN or RNN?
Segmenting and Tagging Text with Neural Networks
A hybrid approach to the sentiment analysis problem at the sentence level
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level
Sentiment Classification with Convolutional Neural Networks: An Experimental Study on a Large-Scale Chinese Conversation Corpus
Statistical Language Models Based on Neural Networks
Named Entity Recognition with Bidirectional LSTM-CNNs
Active Deep Networks for Semi-Supervised Sentiment Classification
A Dependency Tree Based Approach for Sentence-Level Sentiment Classification
Recurrent convolutional neural networks for text classification
Rationale-Augmented Convolutional Neural Networks for Text Classification
A Single Attention-Based Combination of CNN and RNN for Relation Classification
Relation Extraction: Perspective from Convolutional Neural Networks
Semi-supervised Multinomial Naive Bayes for text classification by leveraging word-level statistical constraint
The Past, Present and Future of Text Classification
Pubertal hormones organize the adolescent brain and behavior
Generating Adversarial Driving Scenarios in High-Fidelity Simulators
application of pretrained deep neural networks to large vocabulary speech recognition .
Omega-3 from Flaxseed Oil Protects Obese Mice Against Diabetic Retinopathy Through GPR120 Receptor
Analyzing the degree of conflict among belief functions