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 …

We present a novel approach for generating poetry automatically for the morphologically
rich Finnish language by using a genetic algorithm. The approach improves the state of the …

Motivated by the recent progresses on machine learning-based models that learn artistic
styles, in this paper we focus on the problem of poem generation. This is a challenging task …

We present a novel neural model for modern poetry generation in French. The model
consists of two pretrained neural models that are fine-tuned for the poem generation task …

In this work, we demonstrate a Chinese classical poetry generation system called Deep
Poetry. Existing systems for Chinese classical poetry generation are mostly template-based …

Automatic Poem Generation is an ambitious Natural Language Generation (NLG) problem.
Indeed, models have to replicate the precise structure of poems, rhymes, meters, while …

This paper presents a new, NLG based approach to poetry generation in Finnish for use as
a part of a bigger Poem Machine system the objective of which is to provide a platform for …

PoeTryMe is a platform for the automatic generation of poetry, with a versatile architecture
that provides a high level of customisation. The user can define features that go from the …

We describe a corpus-based poetry generation system which uses templates to construct
poems according to given constraints on rhyme, meter, stress, sentiment, word frequency …

In the last few years, a number of successful approaches have emerged that are able to
adequately model various aspects of natural language. In particular, language models …