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GPoeT-2: A GPT-2 Based Poem Generator (2205.08847v1)

Published 18 May 2022 in cs.CL and cs.AI

Abstract: This project aims to produce the next volume of machine-generated poetry, a complex art form that can be structured and unstructured, and carries depth in the meaning between the lines. GPoeT-2 is based on fine-tuning a state of the art natural LLM (i.e. GPT-2) to generate limericks, typically humorous structured poems consisting of five lines with a AABBA rhyming scheme. With a two-stage generation system utilizing both forward and reverse LLMing, GPoeT-2 is capable of freely generating limericks in diverse topics while following the rhyming structure without any seed phrase or a posteriori constraints.Based on the automated generation process, we explore a wide variety of evaluation metrics to quantify "good poetry," including syntactical correctness, lexical diversity, and subject continuity. Finally, we present a collection of 94 categorized limericks that rank highly on the explored "good poetry" metrics to provoke human creativity.

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Authors (3)
  1. Kai-Ling Lo (3 papers)
  2. Rami Ariss (1 paper)
  3. Philipp Kurz (1 paper)
Citations (6)