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mhagiwara/100-nlp-papers resource

100 Must-Read NLP Papers observed · 2026-08-28

github.com/mhagiwara/100-nlp-papers · homepage 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: 3529
  • days_rel: n/a
  • days_push: 1881
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3846 stars · 558 forks observed · 2026-08-28

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

A curated list of 100 must-read natural language processing papers compiled by Masato Hagiwara, covering machine learning, neural models, embeddings, and other core NLP topics. It is a reading guide for students and researchers rather than software.

Use cases

  • find essential NLP papers to read
  • build a self-study curriculum for natural language processing
  • get reading recommendations for NLP research
  • learn the history of NLP through landmark papers
  • find survey and tutorial papers on NLP topics

When to choose

  • you are a student or researcher starting out in NLP and want a structured reading list
  • you want curated pointers to foundational and modern NLP papers including tutorials and blog posts

When to avoid

  • you need runnable code, a library, or a tool rather than a paper list
  • you need an exhaustive or fully up-to-date bibliography, since the list is opinionated and evolving

Facets

learning-resource · maturity maintenance

nlp documentation machine-learning tutorials awesome-lists reading-list papers curated-list education natural-language-processing

2 sources

Member repositories

RepositoryRoleHealth v2
mhagiwara/100-nlp-papersmain32

For agents

markdown · JSON · MCP: product_card(name="mhagiwara/100-nlp-papers")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem