PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation

Ormazabal, Aitor; Artetxe, Mikel; Agirrezabal, Manex; Soroa, Aitor; Agirre, Eneko

doi:10.18653/v1/2022.findings-emnlp.268

Cited by 2 publications

(1 citation statement)

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“…Transfer tasks are those in which LLMs change parts of the author's original artifacts (e.g., stylistic transfer [57]). In contrast, generation tasks are those in which the LLMs create parts of artifacts that did not exist yet (e.g., story generation [17] or poetry generation [75,84]). In interacting with LLMs, authors can set different levels of authorial control: high and low.…”

Section: Dimensions: Author and Audiencementioning

confidence: 99%

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

Kim,

Han,

Adar

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Generative AI has the potential to create a new form of interactive media: AI-bridged creative language arts (CLA), which bridge the author and audience by personalizing the author's vision to the audience's context and taste at scale. However, it is unclear what the authors' values and attitudes would be regarding AI-bridged CLA.To identify these values and attitudes, we conducted an interview study with 18 authors across eight genres (e.g., poetry, comics) by presenting speculative but realistic AI-bridged CLA scenarios. We identified three benefits derived from the dynamics between author, artifact, and audience: those that 1) authors get from the process, 2) audiences get from the artifact, and 3) authors get from the audience. We found how AI-bridged CLA would either promote or reduce these benefits, along with authors' concerns. We hope our investigation hints at how AI can provide intriguing experiences to CLA audiences while promoting authors' values. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI.

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Section: Dimensions: Author and Audiencementioning

confidence: 99%

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

Kim,

Han,

Adar

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

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Automatic Generation of Literary Sentences in French

2023

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In this paper, we describe a model for the automatic generation of literary sentences in French. Although there has been much recent effort directed towards automatic text generation in general, the generation of creative, literary sentences that is not restricted to a specific genre, which we approached in this work, is a difficult task that is not commonly treated in the scientific literature. In particular, our present model has not been previously applied to the generation of sentences in the French language. Our model was based on algorithms that we previously used to generate sentences in Spanish and Portuguese and on a new corpus, which we constructed and present here, consisting of literary texts in French, called MegaLitefr. Our automatic text generation algorithm combines language models, shallow parsing, the canned text method, and deep learning artificial neural networks. We also present a manual evaluation protocol that we propose and implemented to assess the quality of the artificial sentences generated by our algorithm, by testing if they fulfil four simple criteria. We obtained encouraging results from the evaluators for most of the desired features of our artificially generated sentences.

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PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation

Cited by 2 publications

References 0 publications

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

Automatic Generation of Literary Sentences in French

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