This repository is a curated list of academic papers and resources related to Natural Language Processing (NLP), with a strong focus on Transformer-based models like BERT and its successors. It serves as a comprehensive reference for researchers and practitioners in the NLP field, providing categorized links to key publications, models, and analysis tools.

How It Works

The repository organizes a vast collection of NLP research papers by topic, model series (e.g., BERT, Transformer), and specific NLP tasks (e.g., Text Summarization, Question Answering, Sentiment Analysis). It includes links to papers, GitHub repositories, and sometimes demos or blog posts, facilitating easy access to foundational and state-of-the-art research.

Quick Start & Requirements

This repository is a list of papers and does not require installation or execution. It serves as a knowledge base.

Highlighted Details

• Extensive categorization of papers covering BERT series, Transformer series, transfer learning, and various downstream NLP tasks.
• Includes links to influential papers like "Attention Is All You Need," BERT, RoBERTa, and ALBERT.
• Features sections on model compression, multilingual models, domain-specific applications, and multi-modal approaches.
• Provides links to analysis tools and GitHub repositories for many of the mentioned models and techniques.

Maintenance & Community

The repository is maintained by ChangWookJun. Further community or maintenance details are not specified in the README.

Licensing & Compatibility

The repository itself is a list of links and does not have a specific license. The linked papers and code repositories are subject to their respective licenses.

Limitations & Caveats

As a curated list, the repository's content is limited to what the maintainer has included. It does not provide code implementations or direct access to the models themselves, only pointers to them. The rapidly evolving nature of NLP means the list may require frequent updates to remain fully current.