DBNQA is a large database that can be used to create question answering models. Using a question answering model like NSPM, we can create and experiment with various kinds of QA models with DBNQA. But as we create more and more models it’s become more complicated to manage and use these models. To overcome a situation like this, it’s mandatory to maintain an AI lifecycle management mechanism. This project is trying to address this problem by designing and implementing a lifecycle management framework for DBpedia Neural Question Answering Models.



Sahan Dilshan


  • Edgard Marx
  • Lahiru Hinguruduwa