bidaf
There are 29 repositories under bidaf topic.
allenai/bi-att-flow
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.
kushalj001/pytorch-question-answering
Important paper implementations for Question Answering using PyTorch
shiningliang/MRC2018
2018百度机器阅读理解技术竞赛
ParikhKadam/bidaf-keras
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
stevezheng23/reading_comprehension_tf
Machine Reading Comprehension in Tensorflow
yanx27/DuReader_QANet_BiDAF
Using QANet and BiDAF on DuReader datasets
jingyihiter/myDuReader
2018百度机器阅读理解竞赛
ElizaLo/Question-Answering-based-on-SQuAD
Question Answering System using BiDAF Model on SQuAD v2.0
eitanhaimashiah/multibidaf
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.
Sshanu/Bidirectional-Attention-Flow-for-Machine-Comprehension
Machine Comprehension using Squad and Triviqa Data sets
AmishaSomaiya/MLProjects_UWSeattle
ML Projects and Experience in Industry and Academia.
utahnlp/layer_augmentation_qa
Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
xiaobaicxy/Bidaf_SQuAD_MRC_Pytorch
Pytorch实现Bidaf基于原文提取的机器阅读理解算法
Chiang97912/BiDAF
BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION
dksifoua/Question-Answering
State of the art of Neural Question Answering using PyTorch.
tomassykora/bidaf-question-answering
Bi-Directional Attention Flow (BiDAF) question answering model enhanced by multi-layer convolutional neural network character embeddings.
Wadaboa/squad-question-answering
Question answering on the SQuAD dataset, for NLP class at UNIBO
francidellungo/NeuralNet_for_MachineComprehension
Answering a query about a given context paragraph using a model based on recurrent neural networks and attention.
Yaozeng/MRC
tf bidaf and qanet for dureader dataset
ahmedhajyahmed/BiDAF_pytorch
Implementing the Bidirectional Attention Flow model using pytorch
ddxue/attn-net-squad
CS224N, Stanford, Winter 2018
iafarhan/improved-QANet
This is BIDAF mechanism based question answering network implementation without using and pretrained language representations.
nihal-rao/BiDAF-with-Answer-Pointer
BiDAF reading comprehension model with Answer Pointer head.
tushar-tj/Bi-Directional-Attention-Flow-For-Machine-Comprehension
Implementation of Bidirectional Attention Flow as illustrated in the paper from Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
a7madKaddour/BiDAF
Implementation of the Bi-Directional Attention Flow Model (BiDAF) in Python using Keras
jerrylzy/SQuAD-QANet
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.
josemarcosrf/BiDAF-example-notebook
Usage example for the AllenNLP BiDAF pre-trained model