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bidaf

Here are 29 public repositories matching this topic...

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.

  • UpdatedMay 31, 2023
  • Python

2018百度机器阅读理解技术竞赛

  • UpdatedFeb 26, 2019
  • Python

Using QANet and BiDAF on DuReader datasets

  • UpdatedApr 25, 2019
  • Python

2018百度机器阅读理解竞赛

  • UpdatedJul 16, 2018
  • Python

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.

  • UpdatedSep 5, 2018
  • Python
layer_augmentation_qa

Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.

  • UpdatedNov 3, 2020
  • Python

Pytorch实现Bidaf基于原文提取的机器阅读理解算法

  • UpdatedFeb 15, 2022
  • Python

BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION

  • UpdatedMar 25, 2019
  • Python

State of the art of Neural Question Answering using PyTorch.

  • UpdatedMay 3, 2024
  • Python

Bi-Directional Attention Flow (BiDAF) question answering model enhanced by multi-layer convolutional neural network character embeddings.

  • UpdatedJan 28, 2020
  • Python

Question answering on the SQuAD dataset, for NLP class at UNIBO

  • UpdatedFeb 4, 2021
  • Jupyter Notebook

tf bidaf and qanet for dureader dataset

  • UpdatedMay 17, 2019
  • Python

Answering a query about a given context paragraph using a model based on recurrent neural networks and attention.

  • UpdatedMay 3, 2024
  • Python

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