km1994/nlp_paper_study resource

Health v2 · maintenance only

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4033 stars · 638 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of study notes on top-conference NLP papers, covering topics like BERT, Transformers, prompt engineering, information extraction, and knowledge graphs. It serves as a learning resource for NLP algorithm engineers, with notes also mirrored to a Feishu mind-note for mobile reading.

Use cases

• learn nlp from top conference papers
• study notes on bert and transformer models
• understand named entity recognition and relation extraction papers
• prepare for nlp algorithm engineer interviews
• learn about prompt engineering and llms
• study knowledge graph and gcn papers

When to choose

• you want structured Chinese-language notes on classic and modern NLP papers
• you are preparing for NLP interviews and need topic-by-topic paper summaries
• you want guided reading paths through transformer, pretraining, and information extraction literature

When to avoid

• you need runnable production code or maintained libraries rather than notes
• you require English-language learning material
• you need actively updated content covering the latest papers

Facets

learning-resource · maturity maintenance

nlp machine-learning documentation deep-learning tutorials large-language-models cross-platform study-notes paper-reading bert transformer information-extraction knowledge-graph chinese-language natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="km1994/nlp_paper_study")