This model is a semantic model that captures the relatedness of Finnish words as word vectors. This model can be used in various tasks such as metaphor interpretation.

For usage, please refer to https://github.com/mikahama/finmeter (https://doi.org/10.5281/zenodo.3474297)

Context This data has been produced for poem generation in Finnish. If you use this dataset in your publication, please cite:

Hämäläinen, M., & Alnajjar, K. (2019). Let’s FACE it: Finnish Poetry Generation with Aesthetics and Framing. In K. V. Deemter, C. Lin, & H. Takamura (Eds.), 12th International Conference on Natural Language Generation: Proceedings of the Conference (pp. 290-300). Stroudsburg, PA: The Association for Computational Linguistics.