7 Matching Annotations
  1. Jun 2021
  2. psyarxiv.com psyarxiv.com
    Web-scraping the Expression of Loneliness during COVID-19
    1
    1. XanaButt 28 Jun 2021

      Jung, Y., Lee, Y. K., & Hahn, S. (2021). Web-scraping the Expression of Loneliness during COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/59gwk

      is:preprint lang:en COVID-19 loneliness Natural Language Processing modeling internet social media emotion internal state appraisal online relationship
    Visit annotations in context

    Tags

    Annotators

    URL

    psyarxiv.com/59gwk/
  3. May 2020
  4. arxiv.org arxiv.org
    Complex Societies and the Growth of the Law
    1
    1. edampf 28 May 2020

      Katz, D. M., Coupette, C., Beckedorf, J., & Hartung, D. (2020). Complex Societies and the Growth of the Law. ArXiv:2005.07646 [Physics]. http://arxiv.org/abs/2005.07646

      is:preprint lang:en computer science complex societies law Germany USA legislation modeling multidimensional time-evolving natural language processing network science welfare state tax state
    Visit annotations in context

    Tags

    Annotators

    URL

    arxiv.org/abs/2005.07646
  5. Nov 2018
  6. en.wikipedia.org en.wikipedia.org
    Kneser–Ney smoothing - Wikipedia
    1
    1. ildar 15 Nov 2018
      nlp language modeling
    Visit annotations in context

    Tags

    Annotators

    URL

    en.wikipedia.org/wiki/Kneser–Ney_smoothing
  7. github.com github.com
    mitlm/mitlm
    1
    1. ildar 14 Nov 2018
      nlp language modeling
    Visit annotations in context

    Tags

    Annotators

    URL

    github.com/mitlm/mitlm
  8. github.com github.com
    renepickhardt/generalized-language-modeling-toolkit
    1
    1. ildar 14 Nov 2018
      nlp language modeling
    Visit annotations in context

    Tags

    Annotators

    URL

    github.com/renepickhardt/generalized-language-modeling-toolkit
  9. www.coursera.org www.coursera.org
    Языковые модели - Анализ текстов | Coursera
    1
    1. ildar 13 Nov 2018
      NLP Language modeling
    Visit annotations in context

    Tags

    Annotators

    URL

    coursera.org/lecture/data-analysis-applications/iazykovyie-modieli-UOmij
  10. Apr 2017
  11. demo.clab.cs.cmu.edu demo.clab.cs.cmu.edu
    nce_notes.pdf
    1
    1. teffland 01 Apr 2017
      if your goal is word representation learning,you should consider both NCE and negative sampling

      Wonder if anyone has compared these two approaches

      research nlp ml language modeling
    Visit annotations in context

    Tags

    Annotators

    URL

    demo.clab.cs.cmu.edu/cdyer/nce_notes.pdf