OpenReview PDF Processing

Extract text, figures, and tables from OpenReview PDF submissions.

Overview

The OpenReview PDF Processing utility provides comprehensive tools for extracting structured content from PDF papers...

Best for:

Key Features

Feature 1

Feature 2

Feature 3

Feature 4

Processing Pipeline

Pipeline Stages

Stage Description Output
1.

Text Extraction

Extraction Methods

Supported Text Elements

Element Type Description Extraction Method
Paragraphs
Sections
Headers

Figure Extraction

Extracted Information

Table Extraction

Table Parsing

Installation & Setup

Requirements

# Add requirements here
pip install pdfplumber
pip install PyPDF2
pip install pdf2image
# etc.

Configuration

# Add configuration instructions
# Example configuration file or setup code

Usage Examples

Basic PDF Processing

# Add code example for basic PDF processing
# Example: Extract text from a PDF

Extract Figures

# Add code example for figure extraction
# Example: Extract and save all figures

Extract Tables

# Add code example for table extraction
# Example: Parse tables to structured format

Batch Processing

# Add code example for batch processing
# Example: Process multiple PDFs efficiently

Integration with OpenReview Data

# Add code example for integration
# Example: Link extracted content to OpenReview metadata

Output Format

Extracted Data Structure

Field Type Description
paper_id string OpenReview paper identifier
text_content string Extracted text
figures array List of extracted figures
tables array List of extracted tables

Best Practices

Performance & Quality

Processing Metrics

Avg. Processing Time

Text Extraction Accuracy

Figure Extraction Rate

Table Extraction Rate

Known Limitations