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questions-and-answers
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Bi Att Flow
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1,510
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.
Mac Network
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445
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
Tensorflow Dsmm
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195
Tensorflow implementations of various Deep Semantic Matching Models (DSMM).
Question_answering_models
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131
This repo collects and re-produces models related to domains of question answering and machine reading comprehension
Bertqa Attention On Steroids
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105
BertQA - Attention on Steroids
Pytorch Question Answering
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102
Important paper implementations for Question Answering using PyTorch
Hhh An Online Question Answering System For Medical Questions
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55
HBAM: Hierarchical Bi-directional Word Attention Model
Pytorch Adahan
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51
An unofficial PyTorch implementation of the HAN and AdaHAN models presented in the "Learning Visual Question Answering by Bootstrapping Hard Attention" research paper.
Anmm Cikm16
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37
Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection
Gated Attention Reader
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36
Tensorflow/Pytorch implementation of Gated Attention Reader
Iperceive
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36
Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Question Answering
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22
Exploration of various deep neural networks for Question Answering and Reading Comprehension
Har
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15
Code for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"
Improved Bidaf With Self Attention
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12
Qanet
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11
Tensorflow QANet with ELMo
Research Experiments
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10
Includes implementations of various Question-Answering models for the SQuAD dataset and other Research Experiments
Attentive_lstm_question Answering
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10
Bi-directional LSTM with attention for question answering
Qasystem
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7
COMP90042 Project - Question Answering System
Chapter9
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6
Chapter 9: Attention and Memory Augmented Networks
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