This repository serves as a curated collection of resources for individuals delving into Natural Language Processing (NLP). It provides a structured overview of key concepts, seminal papers, and practical implementations across various NLP tasks, targeting researchers, students, and practitioners seeking to understand and apply modern NLP techniques.

How It Works

The project organizes a vast landscape of NLP research by categorizing seminal papers, foundational models, and survey articles. It links to original research papers, often with accompanying explanations or code repositories, facilitating a deep dive into the evolution and implementation of NLP techniques from topic modeling to large language models.

Quick Start & Requirements

• No installation or execution commands are provided as this is a curated list of resources.
• Requirements: Internet access to view linked papers and articles.
• Links to official quick-start, docs, demo, or other relevant pages:
  • Transformers from Scratch
  • The Illustrated Transformer
  • Attention-based-model
  • Illustrated Guide to LSTM’s and GRU’s
  • CLUE Benchmark
  • Hugging Face Transformers
  • HanLP
  • ML-For-Beginners

Highlighted Details

• Comprehensive coverage of Transformer-based models (BERT, GPT-2/3, T5, etc.).
• Detailed sections on core NLP tasks: classification, generation, similarity, QA, NMT, relation extraction.
• Links to influential papers on word embeddings (word2vec, GloVe, FastText, ELMo).
• Includes resources on foundational deep learning concepts relevant to NLP (RNNs, CNNs, Attention, Dropout, Batch Normalization).

Maintenance & Community

• The repository appears to be a personal or small-team curated list, with no explicit mention of active maintenance, community channels, or a roadmap.

Licensing & Compatibility

• The repository itself is hosted on GitHub, implying a default MIT license for the curated content unless otherwise specified by linked external resources.
• Compatibility for commercial use depends entirely on the licenses of the linked papers and code repositories.

Limitations & Caveats

This repository is a static collection of links and does not provide executable code or a runnable environment. The depth of understanding for each topic is dependent on the user's engagement with the linked external resources.