DengBoCong/nlp-paper
自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）
This project helps researchers and practitioners in natural language processing (NLP) navigate the vast landscape of academic papers. It provides a curated collection of significant research papers, accompanied by detailed reading notes and, for some, executable code examples. The end-user is typically an NLP researcher, data scientist, or machine learning engineer looking to understand and implement cutting-edge NLP models.
1,331 stars. No commits in the last 6 months.
Use this if you need to quickly find, understand, and potentially reproduce key research in various NLP sub-fields, complete with accessible explanations and code.
Not ideal if you are looking for a plug-and-play NLP library for immediate application without delving into research papers or model implementation details.
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1,331
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187
Language
Python
License
Apache-2.0
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Last pushed
Jan 05, 2024
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