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SunLab-OSU

Popular repositories

  1. TURL TURL Public

    Code and data for "TURL: Table Understanding through Representation Learning"

    Jupyter Notebook 112 24

  2. Understanding-CoT Understanding-CoT Public

    Jupyter Notebook 74 5

  3. MISP MISP Public

    Model-based Interactive Semantic Parsing (MISP) framework

    Python 53 6

  4. ReasonBERT ReasonBERT Public

    Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021

    Python 29 4

  5. IterPrompt IterPrompt Public

    Python 17 3

  6. CliniQG4QA CliniQG4QA Public

    CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

    Python 16 4

Repositories

Showing 10 of 27 repositories
  • Understanding-CoT Public
    Jupyter Notebook 74 5 0 0 Updated Jun 1, 2023
  • ReasonBERT Public

    Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021

    Python 29 Apache-2.0 4 0 0 Updated Feb 1, 2023
  • IterPrompt Public
    Python 17 3 0 0 Updated Nov 7, 2022
  • tacobot Public

    Alexa Prize TaskBot by OSU NLP

    HTML 1 0 0 0 Updated Sep 12, 2022
  • TURL Public

    Code and data for "TURL: Table Understanding through Representation Learning"

    Jupyter Notebook 112 Apache-2.0 24 7 0 Updated Jun 28, 2022
  • covid-faq Public

    COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval

    15 6 2 0 Updated Dec 12, 2021
  • MISP Public

    Model-based Interactive Semantic Parsing (MISP) framework

    Python 53 MIT 6 0 0 Updated Aug 31, 2021
  • GraphQuestions Public

    GraphQuestions is a characteristic-rich dataset for factoid question answering described in the paper "On Generating Characteristic-rich Question Sets for QA Evaluation" - EMNLP'16.

    ReScript 1 0 0 0 Updated Aug 11, 2021
  • GloRE Public

    GloRE is a relation embedding model that can be used to augment existing relation extraction models and improve their performance. Most remarkably, for the top 1,000 relational facts discovered by the best existing model (PCNN+ATT), the precision can be improved from 83.9% to 89.3%.

    Jupyter Notebook 0 0 0 0 Updated Aug 11, 2021
  • Interactive-Semantic-Parsing Public

    Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning (AAAI'19)

    Python 1 Apache-2.0 0 0 0 Updated Aug 11, 2021
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