This repository provides a comprehensive survey of over 1000 research papers focused on Natural Language Processing (NLP) and Machine Learning (ML). It aims to help researchers and practitioners quickly navigate and understand the landscape of survey papers in these rapidly evolving fields by categorizing them into popular topics and providing links to the original publications.

How It Works

The project meticulously categorizes survey papers based on established NLP and ML research areas, mirroring submission guidelines from major conferences like ACL and ICML. This structured approach allows for a clear overview of research trends and sub-fields. Additionally, it includes statistical analyses, such as paper counts per area and publication year, and visualizes topic popularity through word clouds.

Quick Start & Requirements

This project is a curated list of papers and does not require installation or specific software. All information is presented within the README.

Highlighted Details

• Categorization covers over 100 distinct NLP and ML sub-topics.
• Includes a dedicated list of surveys specifically on Large Language Models (LLMs).
• Provides links to 1063 papers, facilitating direct access to the research.
• Visualizations like figures and word clouds offer quick insights into research trends.

Maintenance & Community

The project is maintained by the Natural Language Processing Lab at Northeastern University. Contributions are welcomed, and contact information is provided for inquiries.

Licensing & Compatibility

The repository itself does not specify a license. The linked papers are subject to their respective publisher's licenses.

Limitations & Caveats

The survey is a snapshot of research up to the point of its creation and may not include the very latest publications. The categorization is based on the project's interpretation and may not perfectly align with all individual paper scopes.