GithubHelp home page GithubHelp logo

nlpreproducibilitychecklist's Introduction

NLPReproducibilityChecklist

Research on reproducibility in natural language processing

Filename: PapersAboutComputationalReproducibility.tsv Contents: Papers classified by topic (+/- biomedical) and approach (didactic/editorial versus empirical versus case study) Source: Google Sheets/R01 Studying the science in NLP/Reproducibility (migrated to "Minimum information and checklists" spreadsheet)

CHECKLISTS ANALYZED IN THE PAPER:

Natural language processing;

  • Filename: ARR-Responsible-NLP-Research-Checklist-2023-01-19.pdf
  • Filename: EACL-2023-CFP-Reproducibility-Criteria.pdf
  • Filename: Reproducibility-Checklist-NAACL-HLT 2021.pdf

Machine learning:

  • Filename:
  • Filename:
  • Filename:

nlpreproducibilitychecklist's People

Contributors

kevinbretonnelcohen avatar

Watchers

 avatar Kostas Georgiou avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.