Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Document classification by topic labeling
Text Classification from Labeled and Unlabeled Documents using EM
Representation models for text classification: a comparative analysis over three web document types
The Past, Present and Future of Text Classification
Improving LDA topic models for microblogs via tweet pooling and automatic labeling
Improving Multi-Document Summarization via Text Classification
Hierarchical document categorization with support vector machines
Concept Based Short Text Stream Classification with Topic Drifting Detection
How Text Segmentation Algorithms Gain from Topic Models
Automated text document categorization
Improving Topic Quality by Promoting Named Entities in Topic Modeling
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
Data Mining: Document Classification using Naive Bayes Classifier
Using Wikipedia knowledge to improve text classification
A Review of Machine Learning Algorithms for Text-Documents Classification
Simple Semantics in Topic Detection and Tracking
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging
An Intention-Topic Model Based on Verbs Clustering and Short Texts Topic Mining
Deepdocclassifier: Document classification with deep Convolutional Neural Network
Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics
Document Understanding for a Broad Class of Documents
Hierarchical Dirichlet processes
Data Types in UML and OWL-2
Cross-Domain Collaborative Filtering with Factorization Machines
Character N-Gram Tokenization for European Language Text Retrieval
Overview of TAC-KBP 2014 Entity Discovery and Linking Tasks