# Let's FACE it. Finnish Poetry Generation with Aesthetics and Framing

arXiv: https://arxiv.org/abs/1910.13946 · HTML: https://mlsanity.com/paper/1910.13946/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Oct 2019.

## Built on by (most cited first, 11 of 11)

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- [Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography](https://mlsanity.com/paper/2107.03266/) (2021)
- [Ring That Bell: A Corpus and Method for Multimodal Metaphor Detection in Videos](https://mlsanity.com/paper/2301.01134/) (2022)
- [Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka](https://mlsanity.com/paper/2308.07081/) (2023)
- [Modern French Poetry Generation with RoBERTa and GPT-2](https://mlsanity.com/paper/2212.02911/) (2022)
- [Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages](https://mlsanity.com/paper/2305.15380/) (2023)
- [Analyzing Pok'emon and Mario Streamers' Twitch Chat with LLM-based User Embeddings](https://mlsanity.com/paper/2411.10934/) (2024)
- [TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language](https://mlsanity.com/paper/2112.12489/) (2021)

## Abstract (arXiv)

We present a creative poem generator for the morphologically rich Finnish language. Our method falls into the master-apprentice paradigm, where a computationally creative genetic algorithm teaches a BRNN model to generate poetry. We model several parts of poetic aesthetics in the fitness function of the genetic algorithm, such as sonic features, semantic coherence, imagery and metaphor. Furthermore, we justify the creativity of our method based on the FACE theory on computational creativity and take additional care in evaluating our system by automatic metrics for concepts together with human evaluation for aesthetics, framing and expressions.