A machine comprehension project for my M.S. degree experiment.
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Updated
Aug 21, 2019 - Python
A machine comprehension project for my M.S. degree experiment.
Implementation of the Bi-Directional Attention Flow Model (BiDAF) in Python using Keras
Tensorflow Implementation of R-NET
This repo contains the code for scrapping the Question and context from google people may ask
Web service for the neural based answering on open-domain questions
Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
Context Awareness-Enabled Summary Attentive Reader (CAESAR)
Prototyping a Chatbot using Jack the Reader
Bi-Directional Attention Flow for Machine Comprehensions
Pytorch implementation of the RaSoR paper "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016) and experiments with various neural components
My implementation of the FusionNet for machine comprehension
Machine Comprehension Train on MSMARCO with S-NET Extraction Modification
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion
Code & data accompanying the IJCAI 2020 paper "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
A question answering dataset for machine comprehension of spoken content
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