Print Email Facebook Twitter Automatic Generation of Legally and Ethically Correct Email Replies Title Automatic Generation of Legally and Ethically Correct Email Replies Author Meijer, Steven (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Software Technology) Haveman, Yannick (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Rellermeyer, Jan S. (graduation committee) Degree granting institution Delft University of Technology Date 2019-07-05 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. Subject Named Entity RecognitionIntent RecognitionAutomatic Response Generation To reference this document use: http://resolver.tudelft.nl/uuid:f07bb176-887d-442b-870d-313b7b049774 Embargo date 2021-07-05 Part of collection Student theses Document type bachelor thesis Rights © 2019 Steven Meijer, Yannick Haveman Files PDF TI3806_2019_Steven_and_Ya ... PUBLIC.pdf 648.58 KB Close viewer /islandora/object/uuid:f07bb176-887d-442b-870d-313b7b049774/datastream/OBJ/view