Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Support vector machines and Word2vec for text classification with semantic features
Text categorization with support vector machines: Learning with many relevant features
Hierarchical document categorization with support vector machines
Improved Word Representation Learning with Sememes
Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification
Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification
Generating Sentences from Semantic Vector Space Representations
Improving binary classification on text problems using differential word features
Word Embeddings and Their Use In Sentence Classification Tasks
Semi-supervised learning with induced word senses for state of the art word sense disambiguation
Combining Explicit and Implicit Semantic Similarity Information for Word Embeddings
Distributional Representations of Words for Short Text Classification
Word Sense Discrimination By Clustering Contexts In Vector And Similarity Spaces
Latent Semantic Analysis
Entropy-Based Term Weighting Schemes for Text Categorization in VSM
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
A Survey on Feature Selection Techniques and Classification Algorithms for Efficient Text Classification
A novel text mining approach based on TF-IDF and Support Vector Machine for news classification
Using Word2Vec to process big text data
BNS feature scaling: an improved representation over tf-idf for svm text classification
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models
Probabilistic latent semantic indexing
Dielectric Elastomer Spring Roll Actuators for a Portable Force Feedback Device
Trusting Humans and Avatars : A Brain Imaging Study Based on Evolution Theory
the evolution of the supermarket industry : from a & p to walmart * .
HierarchicalTopics: Visually Exploring Large Text Collections Using Topic Hierarchies