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.
“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
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
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.
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Hi everyone. This will be my final blog of GSoC’21, and this blog will discuss how I’ve achieved the lifecycle management of the DBpedia neural QA model and how to use this latest feature. Basically, this blog will cover the latest features of bpm counter and how to use those features properly.