Can Human Assistance Improve a Computational Poet?

Year: 2015 Authors: Carolyn E. Lamb; Daniel G. Brown; Charles L. A. Clarke

Core claim

Human judgments of line-level metrics can improve computational poem selection, and topicality plus combined scoring outperform a baseline.

Topics

computational poetry, crowdsourcing, metric comparison, Twitter corpus

Domains

quantitative analysis, comparative evaluation, metric scoring, poetry, creative writing, computational creativity

Methods

crowdsourced ratings, pairwise comparisons, phrase mining, generative selection

Media

Twitter phrases, human-generated phrases, short poems

Source status

This page publishes metadata and extracted analytical signals only. Raw PDF and full OCR text are kept local for now.