Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A New Method of Region Embedding for Text Classification
Semi-supervised convolutional neural networks for text categorization via region embedding
Arabic Text Classification Based on Word and Document Embeddings
A global-ranking local feature selection method for text categorization
Representing words as regions in vector space
Label embedding for text recognition
Feature Engineering for Text Classification
Semi-Supervised Text Classification Using EM
Feature Selection for Text Classification
feature selection in text classification .
Cluster-driven model for improved word and text embedding
Kernel methods, syntax and semantics for relational text categorization
evaluation of stemming techniques for text classification .
Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification
The Past, Present and Future of Text Classification
a new pairwise ensemble approach for text classification .
Examining the Impact of Feature Selection Methods on Text Classification
Clustering-Based Method for Positive and Unlabeled Text Categorization Enhanced by Improved TFIDF
Recent Trends in Text Classification Techniques
A novel probabilistic feature selection method for text classification
A sequential algorithm for training text classifiers
Neural Shift-Reduce CCG Semantic Parsing
Performance Analysis and Optimization for SpMV on GPU Using Probabilistic Modeling
Understanding deep image representations by inverting them
Categorizing Obstacles in e-Government: Formal and Informal
Ultra-wideband (UWB) Hairpin-Comb filters with broad stopband performances