A Virtual Dialogue Assistant for Conducting Remote Exams

• Published in: 2020 26th Conference of Open Innovations Association (FRUCT) Vol. 26; no. 1; pp. 284 - 290
• Main Authors: Matveev, Anton, Makhnytkina, Olesia, Lizunova, Inna, Vinogradova, Taisiia, Chirkovskii, Artem, Svischev, Aleksei, Mamaev, Nikita
• Format: Conference Proceeding Journal Article
• Language: English
• Published: FRUCT 01-04-2020
• Subjects: artificial intelligence; Buildings; Complexity theory; deep learning; human-machine communication; Knowledge based systems; linguistic; natural language processing; Neural networks; Ontologies; Solids; speech technologies; Technological innovation
• ISSN: 2305-7254; 2305-7254; 2343-0737
• DOI: 10.23919/FRUCT48808.2020.9087557

In this paper, we demonstrate issues and possible solutions to building an Artificial Intelligence Dialogue Assistant for human-machine communication. We specialize it for conducting written exams at online education platforms, talk about the main logical components of the system: knowledge base, question encoder, question generation module, question analysis module. As a knowledge base we consider text fragments representing parts of the course of text fragments representing parts of a course and is a source for a format ontology; and is also sourced for neural network generation of fact-based questions in question generation module and building dependency trees for answer evaluation in question analysis module.