University of Twente Student Theses


Assessing LOKI by learning from Mitsuku and dataset themes

Ignatius Patrick, Patrick (2020) Assessing LOKI by learning from Mitsuku and dataset themes.

[img] PDF
Abstract:Chatbot, a human-imitating bot with the main feature of imitating human conversation, is actively being implemented and perfected since 1990. As one of the main purposes, to practice a conversational skill yet as indistinguishable from pure natural language from human’s conversation, chatbot is also being adapted by more companies for their own sake. Moreover, the Dutch Cadastral Agency, or better known as Kadaster, is currently developing its own chatbot, to give automated service for clients searching for data about land registry and national mapping of the Netherlands. LOKI, the chatbot, is built and currently linked with datasets from PDOK, shared service containing geospatial data of the Netherlands. As the instance is yet far from perfect, the idea of the study is to harvest both strengths and areas of improvement from LOKI, with comparison to Mitsuku, arguable world’s best AI-based chatbot. Furthermore, the study contributes on which datasets are crucial for LOKI’s presentation to public demand.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page