PKU-TANGENT/nlp-tutorial
A Peking University lab tutorial teaching NLP fundamentals through practical deep learning tasks.
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This repository serves as an introductory tutorial for new members of the TANGENT lab at Peking University to learn NLP. It covers foundational topics in machine learning, deep learning, and natural language processing, progressing through hands-on tasks including text classification, named entity recognition with LSTM-CRF, neural machine translation, and transformer-based pre-trained language models. The tutorial leverages the Huggingface Transformers ecosystem and Trainer for practical implementation.
Frequently asked
- What is PKU-TANGENT/nlp-tutorial?
- A Peking University lab tutorial teaching NLP fundamentals through practical deep learning tasks.
- Is nlp-tutorial open source?
- Yes — PKU-TANGENT/nlp-tutorial is open source, released under the MIT license.
- What language is nlp-tutorial written in?
- PKU-TANGENT/nlp-tutorial is primarily written in Python.
- How popular is nlp-tutorial?
- PKU-TANGENT/nlp-tutorial has 1.4k stars on GitHub.
- Where can I find nlp-tutorial?
- PKU-TANGENT/nlp-tutorial is on GitHub at https://github.com/PKU-TANGENT/nlp-tutorial.