Automatic Generation of Legally and Ethically Correct Email Replies

Bachelor thesis (2019)

Authors

S. Meijer Electrical Engineering, Mathematics and Computer Science
Y. Haveman Electrical Engineering, Mathematics and Computer Science

Contributors

Jan S. Rellermeyer Data-Intensive Systems - EEMCS (coach)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2019 Steven Meijer, Yannick Haveman
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Published Date

05-07-2019

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

In this paper, we will explain how our research into a classified field resulted in the creation of an entity recognizer that can recognize 10 different characteristics, and an intent classifier which is able to classify 21 different intents and automatically generate a response to incoming emails. This is all done within legal and ethical boundaries.

Files

TI3806_2019_Steven_and_Yannick... (.pdf)
(.pdf | 0.633 Mb)
- Embargo expired in 05-07-2021