Date of Award
8-25-2023
Document Type
Thesis
Degree Name
Computer Science, MS
First Advisor
Jake Qualls
Committee Members
Hung-Chi Su; Jason Causey
Call Number
LD 251 .A566t 2023 N53
Abstract
As natural language generation expands, increasing attention has been paid to neural networks and other machine learning techniques. This study offers a cheaper, simpler approach in the field of poetry generation. The Empath system uses a random-grammar model to constrain creativity with syntactical rules in order to produce novel and valuable poetry after the style of Emily Dickinson. It pays specific attention to using related words to create a sense of coherence and implements a framing system to prove that its creative choices are intentional. A survey of 118 students and teachers at Arkansas State University shows that Empath’s products are at least sometimes creative and implies that with further improvement, a random-grammar model could perform within range of a neural network or human poet.
Rights Management
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Nichols, Alyson Elaine Marie, "Framing And Intentionality in Artificial Intelligence Poetry" (2023). Student Theses and Dissertations. 160.
https://arch.astate.edu/all-etd/160
