Lifecycle Management of DBpedia Neural QA Models - GSoC2021

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.


Create a Nerual Model Management Framework

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

Warm-up tasks
(1) Fork the NsPM project ( );
(2) Train the Monument 300 and Monument 600 datasets;
(3) Fork the KBox project ( );
(4) Instantiate one of the datasets available in KBox.

Reference Material

  • “An example of an excellent proposal that was accepted a few years ago. Please mind that the number of total project hours have changed from 300 to 175.” Tommaso Soru

Edgard Marx
Lahiru Hinguruduwa

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

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Hi @emarx. I’m really interested in this project. I’m a final year Software Engineering undergraduate at IIT- Sri Lanka. I have great knowledge and experience with Deep Learning and NLP. Hope I’m not too late to contact the mentor and start warm-up tasks. Looking forward to work on this project

thanks for your contact, it is not too late, good luck :slight_smile:

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Hi @emarx , My name is E Liu, i’m a junior at Northwest Normal University, China.I am very interested in these projects.I started warm-up tasks. I’m trying to understand all the details of the whole project and hope it’s not too late.Looking forward to your guidance.

Great, looking forward too :slight_smile:

I will be hosting a GSOC session next Friday, write down your questions and join me if you can.

Topic: Edgard Marx’s Zoom Meeting
Time: Apr 2, 2021 06:00 PM Amsterdam, Berlin, Rome, Stockholm, Vienna

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