Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Semi-supervised Clustering for Short Text via Deep Representation Learning
Short Text Clustering via Convolutional Neural Networks
Variational Deep Embedding: A Generative Approach to Clustering.
Using clustering analysis to improve semi-supervised classification
Unsupervised Multi-Manifold Clustering by Learning Deep Representation.
BTM: Topic Modeling over Short Texts
Comprehensible and Accurate Cluster Labels in Text Clustering
Semantic Visualization for Short Texts with Word Embeddings
Semi-supervised Zero-Shot Learning by a Clustering-based Approach
Semantic-Based Text Document Clustering Using Cognitive Semantic Learning and Graph Theory
Semi-supervised clustering methods
Document Clustering and Text Summarization
Unsupervised Sparse Vector Densification for Short Text Similarity
Understanding Short Texts through Semantic Enrichment and Hashing
Weak Supervision for Semi-supervised Topic Modeling via Word Embeddings
Incremental hierarchical clustering of text documents
A probabilistic framework for semi-supervised clustering
Semi-supervised learning by sparse representation
Semi-Supervised Clustering via Matrix Factorization
Semi-Supervised Learning via Compact Latent Space Clustering
Textual Document Clustering Using Topic Models
Arabic Natural Language Processing from Software Engineering to Complex Pipeline
Calibration of Confidence Measures in Speech Recognition
Gender Recognition Based on Sift Features
Multi-terminal function multicasting in undirected graphs
Transductive Inference for Text Classification using Support Vector Machines