Lifecycle Management of DBpedia Neural QA Models - GSoC2020

This project will consist of automating the process of DBpedia Neural Question Answering [1] model lifecycle management with the following tasks:
(1) make DBNQA models based on current dataset available to users;
(2) implement an evaluation service for DBpedia model evaluation with IRBench [2];
(3) integrate automatic build when changes occur in the DBpedia NSPM training dataset.

[1] https://github.com/AKSW/DBNQA
[2] https://github.com/AKSW/irbench

Could please provide project details and use our usual project description structure. Thank you :slight_smile:

DESCRIPTION
Goal
Impact
Warm-up tasks:
Mentors
Keywords

Description
This project will consist of automating the process of DBpedia Neural Question Answering [1] model lifecycle management with the following tasks:
(1) make DBNQA models based on current dataset available to users;
(2) implement an evaluation service for DBpedia model evaluation with IRBench [2];
(3) integrate automatic build when changes occur in the DBpedia NSPM training dataset.

[1] https://github.com/AKSW/DBNQA
[2] https://github.com/AKSW/irbench

Goal
Create a Nerual Model Management Framework

Impact
Facilitate Neural Model life-cycle managing (updates, editions, issues) on new and old DBpedia versions.

Warm-up tasks
(1) Fork the NsPM project (https://github.com/AKSW/NSPM);
(2) Train the Monument 300 and Monument 600 datasets https://github.com/AKSW/NSpM/tree/master/data;
(3) Fork the KBox project (https://github.com/AKSW/KBox);
(4) Instantiate one of the datasets available in KBox.

Mentors
Edgard Marx

Keywords
#NSpM #DBpedia #ModelManagement #AI #AIManagement #AILifecycle