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cosmosqa's Introduction

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning (EMNLP'2019)

This repository includes the source code and data for Cosmos QA.

Project Page and Leaderboard

  • Please refer detailed examples, resources, as well as a leaderboard in our project page: Project Page
  • To measure the performance of your system or create a submission to our leaderboard, please refer to Leaderboard for detailed instructions and policies.

Repo Details

  • The training/dev/test datasets for Cosmos QA can be found in data/
  • The BERT with multiway attention model can be ran and tuned with grid_search.sh

Requirements

Python3, Pytorch1.0, tqdm, boto3, requests

cosmosqa's People

Contributors

wilburone avatar

Watchers

James Cloos avatar

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