Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels
November 17, 2020 ยท Declared Dead ยท ๐ LATECHCLFL
"No code URL or promise found in abstract"
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Authors
Ryan Brate, Paul Groth, Marieke van Erp
arXiv ID
2011.08903
Category
cs.CL: Computation & Language
Citations
11
Venue
LATECHCLFL
Last Checked
5 months ago
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.
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