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Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Important paper implementations for Question Answering using PyTorch
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
Machine Reading Comprehension in Tensorflow
Using QANet and BiDAF on DuReader datasets
Question Answering System using BiDAF Model on SQuAD v2.0
Multiple Sentences Bi-directional Attention Flow (Multi-BiDAF) network is a model designed to fit the BiDAF model of Seo et al. (2017) for the Multi-RC dataset. This implementation is built on the AllenNLP library.
Machine Comprehension using Squad and Triviqa Data sets
ML Projects and Experience in Industry and Academia.
Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
State of the art of Neural Question Answering using PyTorch.
Pytorch实现Bidaf基于原文提取的机器阅读理解算法
BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION
Bi-Directional Attention Flow (BiDAF) question answering model enhanced by multi-layer convolutional neural network character embeddings.
Question answering on the SQuAD dataset, for NLP class at UNIBO
Answering a query about a given context paragraph using a model based on recurrent neural networks and attention.
Implementing the Bidirectional Attention Flow model using pytorch
CS224N, Stanford, Winter 2018
This is BIDAF mechanism based question answering network implementation without using and pretrained language representations.
BiDAF reading comprehension model with Answer Pointer head.
Implementation of Bidirectional Attention Flow as illustrated in the paper from Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
We implemented QANet from scratch and improved baseline BiDAF. We also used an ensemble of BiDAF and QANet models to achieve EM/F1 of 69.47/71.96, ranking #3 on the leaderboard as of Mar 4, 2022.
Implementation of the Bi-Directional Attention Flow Model (BiDAF) in Python using Keras
Usage example for the AllenNLP BiDAF pre-trained model