This repository is a curated list of Natural Language Processing (NLP) projects, frameworks, and resources designed to delight engineers and researchers. It aims to provide a comprehensive overview of tools that facilitate NLP tasks, from parsing and knowledge extraction to sentiment analysis and dialogue systems.

How It Works

The list is organized into categories such as Resources and Frameworks, Deep Learning goodies, Language modelling, and Dialogue frameworks. It highlights projects that offer unique approaches to NLP challenges, including semantic parsing, knowledge representation, and statistical relational learning. The curation emphasizes projects that are innovative or particularly well-executed, making them valuable for those seeking advanced NLP solutions.

Quick Start & Requirements

This is a curated list, not a runnable project. To use any of the listed projects, refer to their individual repositories for installation and usage instructions.

Highlighted Details

• Comprehensive coverage of NLP subfields, including semantic parsing, knowledge extraction, and sentiment analysis.
• Inclusion of both foundational NLP libraries (NLTK, spaCy) and specialized tools (TRIPS, YAGO, MITIE).
• Features projects utilizing diverse techniques like deep learning, statistical relational learning, and memory-based learning.
• Links to related curated lists and resources for further exploration.

Maintenance & Community

The list is maintained by Eugeniu Costezki. Contributions are welcome, with guidelines provided for submission.

Licensing & Compatibility

The content of this list is dedicated to the public domain, with all copyright and related rights waived to the extent possible by law. Individual projects retain their own licenses.

Limitations & Caveats

This is a static list of links and does not provide any integrated functionality. Users must individually assess and integrate the listed projects. Some projects may be outdated or have limited community support.