# roomylee/awesome-relation-extraction

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

Repository: https://github.com/roomylee/awesome-relation-extraction
Canonical: https://ross.abutalabs.com/products/awesome-relation-extraction
License Family: other
Topics: awesome, relation-extraction, relation-classification, distant-supervision, deep-learning, natural-language-processing, nlp, paper, machine-learning, semeval-2010, new-york-times, state-of-the-art, acl, emnlp, naacl, aaai, nips, trends
Last push: 2022-01-27T14:46:32+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3084, "days_push": 1679, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1224, forks 134 (observed 2026-08-28T04:04:02.716024+00:00)

## What it is
A curated awesome-list of resources for Relation Extraction, an NLP task, including surveys, papers, datasets, videos, systems, and frameworks. It serves as a research reference rather than executable software.

## Use cases
- find papers on relation extraction
- learn about distant supervision for relation classification
- find datasets like semeval-2010 for relation extraction
- survey deep learning methods for NLP information extraction
- find few-shot relation extraction approaches
- get started with relation extraction research

## When to choose
- you need a curated reading list for relation extraction research
- you want links to datasets and state-of-the-art papers in one place

## When to avoid
- you need runnable relation extraction code or a library
- you need a maintained tool rather than a reference list

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning, documentation
- domain: machine-learning, artificial-intelligence, awesome-lists, tutorials
- platform: -
- tags: awesome-list, relation-extraction, information-extraction, papers, datasets, curated-resources, natural-language-processing, web-server

## Member repositories
- roomylee/awesome-relation-extraction (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:02.716024+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:15:29.355503+00:00, confidence not recorded.
  - readme: https://github.com/roomylee/awesome-relation-extraction (fetched 2026-08-28T04:04:02.716024+00:00, sha 3042e52d9263)
- Data as of 2026-08-30T08:39:29.467469+00:00.