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

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zia-hasan/SQuAD-challenge

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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"

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

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