thunlp/NREPapers resource
Must-read papers on neural relation extraction (NRE) observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2969
- days_rel: n/a
- days_push: 2122
- n_releases_24m: 0
Adoption not part of the score
1021 stars · 150 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated list of must-read papers on neural relation extraction (NRE), maintained by THUNLP. It also catalogs relevant datasets and survey papers for the field.
Use cases
- find must-read papers on neural relation extraction
- get started researching relation extraction in NLP
- find datasets for relation extraction like TACRED and DocRED
- survey deep learning methods for information extraction
- prepare a literature review on NRE
When to choose
- you are a researcher or student entering the neural relation extraction field
- you need a curated reading list with links to papers and datasets
When to avoid
- you need runnable relation extraction code - use OpenNRE instead
- you need actively updated content - the list was last updated in 2020
Facets
learning-resource · maturity maintenance
nlp documentation machine-learning tutorials python relation-extraction paper-list reading-list information-extraction academic-papers natural-language-processing
1 source
- readme: https://github.com/thunlp/NREPapers · fetched 2026-08-28 · 5100b74fdc79
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| thunlp/NREPapers | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="thunlp/NREPapers")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem