Paper accepted at LaTeCH-CLfL

A paper co-authored by Dr. Tristan Miller has been accepted for publication at LaTeCH-CLfL 2021, the Fifth Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature.

The paper, "End-to-end Style-Conditioned Poetry Generation: What Does It Take to Learn from Examples Alone?", presents an end-to-end model for poetry generation based on conditioned recurrent neural network (RNN) language models whose goal is to learn stylistic features, including some associated with humorous poetry, from examples alone.

The LaTeCH-CLfL workshop, colocated with the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), will be held on November 11, 2021 in Punta Cana, Dominican Republic.

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