Augmenting Poetry Composition with Verse by Verse
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Abstract (arXiv)
We describe Verse by Verse, our experiment in augmenting the creative process of writing poetry with an AI. We have created a group of AI poets, styled after various American classic poets, that are able to offer as suggestions generated lines of verse while a user is composing a poem. In this paper, we describe the underlying system to offer these suggestions. This includes a generative model, which is tasked with generating a large corpus of lines of verse offline and which are then stored in an index, and a dual-encoder model that is tasked with recommending the next possible set of verses from our index given the previous line of verse.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 9 of its 24 references that are in the map. First posted on arXiv 31 Mar 2021.
Builds on
9 of 24 references.
References · 9
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Built on by
Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 2.
5 papers.
- 2022Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writingcited by 71
- 2022Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptionscited by 54
- 2021Don't Go Far Off: An Empirical Study on Neural Poetry Translationcited by 15
- 2024LLM-based multi-agent poetry generation in non-cooperative environmentscited by 15
- 2024A Perspective on Literary Metaphor in the Context of Generative AIcited by 1
- 2024LLM-based multi-agent poetry generation in non-cooperative environments5 Sep 2024
- 2024A Perspective on Literary Metaphor in the Context of Generative AI2 Sep 2024
- 2022Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing25 Oct 2022
- 2022Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions30 Sep 2022
- 2021Don't Go Far Off: An Empirical Study on Neural Poetry Translation7 Sep 2021