# DengBoCong/nlp-paper

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

Repository: https://github.com/DengBoCong/nlp-paper
Canonical: https://ross.abutalabs.com/products/nlp-paper
Language: Python
License: Apache-2.0
License Family: permissive
Topics: dialogue, speech, nlp-machine-learning, paper, tensorflow2, pytorch, nlp, bert
Last push: 2024-01-05T06:50:56+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": 2188, "days_push": 971, "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 1332, forks 188 (observed 2026-08-28T04:04:24.398241+00:00)

## What it is
A curated collection of NLP research papers organized by topic and date, with author-written reading notes for classic and novel papers. It includes Python code reproducing models and data processing in both TensorFlow and PyTorch, plus a search tool for finding papers.

## Use cases
- find nlp papers to read
- learn nlp with reading notes
- reproduce nlp model papers in pytorch or tensorflow
- study dialogue system papers
- find bert and pretraining papers
- search a curated nlp paper list
- learn speech recognition and synthesis research

## When to choose
- you want a curated, categorized NLP paper reading list with notes
- you want reference implementations of NLP models in both TensorFlow and PyTorch
- you are studying dialogue systems, text similarity, or speech topics

## When to avoid
- you need a production-ready NLP library or framework
- you need maintained, tested model implementations rather than study code
- you need papers outside NLP and speech domains

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning, deep-learning, speech-recognition, tts, search-engine
- domain: machine-learning, deep-learning, speech-processing, tutorials, awesome-lists
- platform: python, cross-platform
- tags: paper-reading-notes, nlp-papers, bert, dialogue-systems, tensorflow, pytorch, paper-reproduction, chinese, natural-language-processing

## Member repositories
- DengBoCong/nlp-paper (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:24.398241+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 2026-08-30T04:44:56.459120+00:00, confidence not recorded.
  - readme: https://github.com/DengBoCong/nlp-paper (fetched 2026-08-28T04:04:24.398241+00:00, sha 907bbfcd08c1)
- Data as of 2026-08-30T08:39:29.467469+00:00.