Towards olfactory information extraction from text: A case study on detecting smell experiences in novels

Ryan Brate, Paul Groth, Marieke van Erp

Research output: Chapter in book/volumeContribution to conference proceedingsScientificpeer-review

Abstract

Environmental factors determine the smells we perceive, but societal factors factors shape the importance, sentiment and biases we give to them. Descriptions of smells in text, or as we call them ‘smell experiences’, offer a window into these factors, but they must first be identified. To the best of our knowledge, no tool exists to extract references to smell experiences from text. In this paper, we present two variations on a semi-supervised approach to identify smell experiences in English literature. The combined set of patterns from both implementations offer significantly better performance than a keyword-based baseline.
Original languageEnglish
Title of host publicationProceedings of the The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Pages147-155
Publication statusPublished - 17 Nov 2020

Publication series

NameProceedings of the The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
PublisherAssociation for Computational Linguistics (ACL)

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