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dmhowcroft/README.md

Hi 👋, I'm Dave

a computational linguist interested in natural language generation and psycholinguistics

  • 🔭 I’m currently working on NLG for low-resource settings, including data-efficient ML.

  • 🌱 I’m always learning more about statistics and experimental design :)

  • 💬 Ask me anything about Natural Language Generation

  • Pronouns: they/them

flask git hugo linux python

 dmhowcroft

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  1. evalgenchal/20Y-CHEC evalgenchal/20Y-CHEC Public

    Repository that contains the related resources from the INLG 2020 paper: "Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions"

    Jupyter Notebook 3

  2. tuetschek/e2e-cleaning tuetschek/e2e-cleaning Public

    Cleaned E2E NLG Challenge data + supporting scripts

    Python 21 1

  3. eacl2017-replication eacl2017-replication Public

    Instructions for replicating the results of Howcroft & Demberg 2017.

    Shell 1 1

  4. mcrt mcrt Public

    Exploring Mouse-Contingent Reading Times.

    HTML 3

  5. icy-parses icy-parses Public

    Tool for extracting Integration Cost from dependency parses. Packaged with an old version of the Stanford Parser and ready to go!

    Python 2 2

  6. openccg openccg Public

    Forked from OpenCCG/openccg

    OpenCCG library for parsing and realization with CCG

    Java