Work

The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation

Year: 2023

Type: conference-paper

Abstract: We consider the automated generation of sonnets, a poetic form constrained according to meter, rhyme scheme, and length.Sonnets generally also use rhetorical figures, expressive language, and a consistent theme or narrative.Our constrained decoding approach allows for the generation of sonnets within preset poetic constraints, while using a relatively modest neural backbone.Human evaluation confirms that our approach produces Shakespearean sonnets that resemble human-authored sonnets, and which adhere to the genre's defined constraints and contain lyrical language and literary devices.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2023.acl-short.140

Authors: Edwin Agnew, Michelle Qiu, Lily Zhu, Sam Wiseman, Cynthia Rudin

Institution: Duke University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4385570370

FWCI: 0.396

Cites:

Cited by: 2

Related to: 10