# mihail911/nlp-library

curated collection of papers for the nlp practitioner 📖👩‍🔬

Repository: https://github.com/mihail911/nlp-library
Canonical: https://ross.abutalabs.com/products/nlp-library
License Family: other
Topics: neural-network, dialogue, nlp, machine-learning, neural-machine-translation, deep-learning, language-model, nlp-datasets
Last push: 2020-08-05T06:13:10+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": 3310, "days_push": 2219, "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 1070, forks 90 (observed 2026-08-28T04:03:27.932594+00:00)

## What it is
A curated collection of research papers for NLP practitioners, organized by task categories like POS tagging, parsing, and named entity recognition. Each paper includes a short TLDR summary and special designations for landmark works and dataset resources.

## Use cases
- find classic nlp papers to read
- curated reading list for nlp practitioners
- learn about sequence tagging research
- find seminal papers on neural machine translation
- discover nlp datasets introduced in papers
- study the history of parsing and language models

## When to choose
- you want a curated, annotated list of important NLP papers
- you are a practitioner building foundational NLP knowledge
- you want quick TLDRs to decide which papers to read

## When to avoid
- you need runnable code or implementations rather than papers
- you need up-to-date coverage of recent LLM-era research
- you want a tool or library rather than a reading list

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning, deep-learning
- domain: machine-learning, deep-learning, tutorials
- platform: cross-platform
- tags: curated-list, papers, awesome-list, reading-list, research-papers, natural-language-processing

## Member repositories
- mihail911/nlp-library (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:27.932594+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 2026-08-30T06:54:03.705975+00:00, confidence not recorded.
  - readme: https://github.com/mihail911/nlp-library (fetched 2026-08-28T04:03:27.932594+00:00, sha c1e6ca44029f)
- Data as of 2026-08-30T08:39:29.467469+00:00.