Neural Extraction Framework

DBpedia Neural Extraction Framework

A research framework for multilingual information extraction over DBpedia, developed and extended through multiple Google Summer of Code (GSoC) projects.

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📖 About

The Neural Extraction Framework is a specialized repository under the DBpedia project focused on advancing information extraction using neural networks and large language models. This framework complements DBpedia's traditional extraction methods by providing state-of-the-art neural approaches for extracting structured knowledge from unstructured text.

🎯 Key Features

• Neural-based Triple Extraction: Extract RDF triples using language models
• Multi-language Support: Specialized pipelines for various languages (English, Hindi, etc.)
• Semantic Web Integration: RDF/SPARQL compatible outputs
• Evaluation Frameworks: Benchmarking tools for IE performance

🗣️ Supported Languages

• 🇬🇧 English (no suffix)
• 🇮🇳 Hindi (_H suffix)

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🚀 GSoC Projects

This repository hosts Google Summer of Code (GSoC) projects that advance neural extraction techniques:

🏆 Recent Contributions

• GSoC 2025: Enhanced English and Hindi Information Extraction pipelines with SLM integration, link prediction, and predicate linking
• GSoC 2024: Language model integration and pipeline optimization
• GSoC 2023: Advanced relation extraction methods
• GSoC 2022: Relation extraction pipeline improvements
• GSoC 2021: Initial neural framework development

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🛠️ Technology Stack

Implementation Language

• Python

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📦 Installation

Prerequisites

• Python 3.8+
• Git

Quick Start

# Clone the repository
git clone https://github.com/dbpedia/neural-extraction-framework.git
cd neural-extraction-framework

# Navigate to specific GSoC project
cd GSoC25_H  # Example: Hindi Chapter

# Follow project-specific setup
# Each directory has its own README with detailed instructions

Important: Each GSoC project has unique dependencies and setup requirements. Always refer to the README in the specific project directory.

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🎓 Project Structure

Each GSoC directory typically contains:

• README.md - Project-specific documentation
• src/ - Source code and implementations
• data/ - Datasets and benchmarks
• models/ - Trained models or model configurations
• notebooks/ - Jupyter notebooks for experiments
• requirements.txt - Python dependencies

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🤝 Contributing

We appreciate all contributions! To contribute:

• Fork the repository
• Create a feature branch (git checkout -b feature/amazing-feature)
• Commit your changes (git commit -m 'Add amazing feature')
• Push to the branch (git push origin feature/amazing-feature)
• Open a Pull Request

Please ensure your code follows the project's coding standards and includes appropriate tests.

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📬 Contact & Community

• Forum: forum.dbpedia.org
• Slack: dbpedia.slack.com
• Mailing List: dbpedia-gsoc@lists.dbpedia.org
• Website: dbpedia.org

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🌟 Acknowledgements

• Google Summer of Code for supporting student contributions
• DBpedia Association for mentorship and infrastructure
• All GSoC students and mentors who have contributed
• The open-source community for tools and collaboration

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