Alic-yuan/nlp-beginner-finish
A Python implementation of Fudan University's NLP beginner exercises covering text classification, sequence labeling, and neural language models.
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This repository completes five NLP exercises from Fudan University’s course by Professor Qiu Xipeng. Tasks include machine learning text classification, deep learning text classification using neural networks, attention-based text matching, sequence labeling with LSTM and CRF layers, and neural network language modeling. All code is tested and executable as educational implementations of core NLP techniques.
Frequently asked
- What is Alic-yuan/nlp-beginner-finish?
- A Python implementation of Fudan University's NLP beginner exercises covering text classification, sequence labeling, and neural language models.
- Is nlp-beginner-finish open source?
- Yes — Alic-yuan/nlp-beginner-finish is an open-source project tracked on heatdrop.
- What language is nlp-beginner-finish written in?
- Alic-yuan/nlp-beginner-finish is primarily written in Python.
- How popular is nlp-beginner-finish?
- Alic-yuan/nlp-beginner-finish has 1.4k stars on GitHub.
- Where can I find nlp-beginner-finish?
- Alic-yuan/nlp-beginner-finish is on GitHub at https://github.com/Alic-yuan/nlp-beginner-finish.