Automatically Generating Questions about Novel Metaphors in Literature

Natalie Parde, Rodney Nielsen


Abstract
The automatic generation of stimulating questions is crucial to the development of intelligent cognitive exercise applications. We developed an approach that generates appropriate Questioning the Author queries based on novel metaphors in diverse syntactic relations in literature. We show that the generated questions are comparable to human-generated questions in terms of naturalness, sensibility, and depth, and score slightly higher than human-generated questions in terms of clarity. We also show that questions generated about novel metaphors are rated as cognitively deeper than questions generated about non- or conventional metaphors, providing evidence that metaphor novelty can be leveraged to promote cognitive exercise.
Anthology ID:
W18-6533
Volume:
Proceedings of the 11th International Conference on Natural Language Generation
Month:
November
Year:
2018
Address:
Tilburg University, The Netherlands
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
264–273
Language:
URL:
https://aclanthology.org/W18-6533
DOI:
10.18653/v1/W18-6533
Bibkey:
Cite (ACL):
Natalie Parde and Rodney Nielsen. 2018. Automatically Generating Questions about Novel Metaphors in Literature. In Proceedings of the 11th International Conference on Natural Language Generation, pages 264–273, Tilburg University, The Netherlands. Association for Computational Linguistics.
Cite (Informal):
Automatically Generating Questions about Novel Metaphors in Literature (Parde & Nielsen, INLG 2018)
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PDF:
https://preview.aclanthology.org/author-url/W18-6533.pdf