Automatic question generation for virtual humans

Fasya, Evania Lina (2017) Automatic question generation for virtual humans.

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Abstract:Alice, a virtual human that is created based on the ARIA-VALUSPA framework, is a representation of the main character from the Alice in Wonderland story. This research aims to prepare the domain knowledge of Alice by developing an automatic question generation system. The system is called Alice Question Generation (AQG) and it makes use of two semantic tasks; Semantic Role Labeling (SRL) and Stanford Dependency. AQG system generates questions and answers (QAs) about Alice in Wonderland which will be stored in the QAMatcher, which is a tool that stores the domain knowledge of Alice in a QA pair format. The QAMatcher works by matching a user’s question with a number of prepared questions using text processing algorithms, and then gives the answer that is linked to the matched question. The first phase in developing the AQG system is observing the SRL and Dependency patterns. The second phase is creating the QA templates. These templates were evaluated twice, with error analysis and improvements conducted after each evaluation. Next, a user study using the QAMatcher was conducted. Finally, this research discusses the important aspects when implementing the automatic question generation for virtual humans at the end of the report.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:17 linguistics and theory of literature, 54 computer science
Programme:Human Media Interaction MSc (60030)
Link to this item:http://purl.utwente.nl/essays/73352
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