Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Table Recognition in Heterogeneous Documents Using Machine Learning
Automatic table ground truth generation and a background-analysis-based table structure extraction method
Compositional Semantic Parsing on Semi-Structured Tables
Visual appearance based document image classification
PROC OF THE IEEE NOVEMBER Gradient Based Learning Applied to Document Recognition
Towards generic framework for tabular data extraction and management in documents
Efficient Classification from Multiple Heterogeneous Databases
Text recognition of low-resolution document images
Recovering Semantics of Tables on the Web
Learning to detect, localize and recognize many text objects in document images from few examples
Automatic Labeling of Document Clusters
Hierarchical document categorization with support vector machines
Mathematical Formula Detection in Heterogeneous Document Images
Knowledge-Aware Conversational Semantic Parsing Over Web Tables
Cross-Dataset Recognition: A Survey.
Classification of document pages using structure-based features
Unstructured Document Recognition on Business Invoice CS 229 : Machine Learning
A System for Handwritten and Printed Text Classification
document table detection and analysis using projection scale space .
Image-based logical document structure recognition
Integrating rich document representations for text classification
Table structure recognition based on robust block segmentation
The Semiotics of Emoji: The Rise of Visual Language in the Age of the Internet
New step-up DC-DC converters for PV power generation systems
A 14mW 6.25Gb/s Transceiver in 90nm CMOS for Serial Chip-to-Chip Communications
Sparse learning via Boolean relaxations