# Coreference Reasoning in Machine Reading Comprehension

## Overview

Our source code consists of two components:
1. ./tase: this directory provides the code for train and evaluate TASE models. It reuses all the code from [tag-based-multi-span-extraction](https://github.com/eladsegal/tag-based-multi-span-extraction) with only minor changes for multi-datasets training.

2. ./roberta: this directory provides the code for train and evaluate RoBERTa large model. It is based on the [Hugginface pytorch-transformer implementation](https://github.com/huggingface/transformers) of RoBERTa QA. 


