# dair-ai/nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

Repository: https://github.com/dair-ai/nlp_paper_summaries
Canonical: https://ross.abutalabs.com/products/nlp_paper_summaries
License: MIT
License Family: permissive
Topics: nlp, deep-learning, machine-learning
Last push: 2021-12-04T11:37:14+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": 2374, "days_push": 1733, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1472, forks 231 (observed 2026-08-28T04:04:49.480297+00:00)

## What it is
A community-curated repository of NLP paper summaries and TL;DRs organized by ACL-style tracks, intended as an approachable entry point to NLP research. Contributions are accepted via pull requests linking to blog posts or summaries written directly in the repo.

## Use cases
- find approachable summaries of important NLP papers
- get a TL;DR of a machine learning paper before reading it
- find an entry point into NLP research as a beginner
- share my blog post explaining an NLP technique with the community
- browse NLP papers grouped by topic like ACL tracks
- refresh my memory on key points of papers I've already read

## When to choose
- you want curated, human-written explanations of NLP papers rather than raw paper lists
- you are a beginner looking for accessible entry points into NLP research
- you want to contribute your own paper summaries or blog posts to a community resource

## When to avoid
- you need full paper texts or comprehensive coverage of all NLP literature
- you need a regularly updated resource, as the project is a work in progress and seeks maintainers
- you need summaries outside the NLP domain

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, documentation
- domain: machine-learning, deep-learning, tutorials
- platform: -
- tags: paper-summaries, curated-list, awesome-list, research-papers, community-driven, natural-language-processing, web-server

## Member repositories
- dair-ai/nlp_paper_summaries (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:49.480297+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 2026-08-30T04:34:40.459785+00:00, confidence not recorded.
  - readme: https://github.com/dair-ai/nlp_paper_summaries (fetched 2026-08-28T04:04:49.480297+00:00, sha 118cfa5db046)
- Data as of 2026-08-30T08:39:29.467469+00:00.