/SQuAD-challenge

Implementation of SQuAD BiDAF, Co-Attention, Hybrid and Double Cross Attention Model

Primary LanguagePythonApache License 2.0Apache-2.0

cs224n-project

Code for the Default Final Project (SQuAD) for CS224n, Winter 2018

Note: this code is adapted in part from the Neural Language Correction code by the Stanford Machine Learning Group.


This is an implementation of BiDAF model, Co-Attention model, a hybrid model and Double cross attention model for Stanford's SQuAD challenge. Please check the report under `latex_report'' folder and handout under "docs folder"