How creative is your writing? A linguistic creativity measure from computer science and cognitive psychology perspectives

Authors:
Xiaojin Zhu;Zhiting Xu;Tushar Khot
Affiliations:
University of Wisconsin-Madison, Madison, WI;University of Wisconsin-Madison, Madison, WI;University of Wisconsin-Madison, Madison, WI
Venue:
CALC '09 Proceedings of the Workshop on Computational Approaches to Linguistic Creativity
Year:
2009

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Abstract

We demonstrate that subjective creativity in sentence-writing can in part be predicted using computable quantities studied in Computer Science and Cognitive Psychology. We introduce a task in which a writer is asked to compose a sentence given a keyword. The sentence is then assigned a subjective creativity score by human judges. We build a linear regression model which, given the keyword and the sentence, predicts the creativity score. The model employs features on statistical language models from a large corpus, psychological word norms, and WordNet.