Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels

• URL: http://arxiv.org/abs/2011.08903v2
• Date: Sun, 6 Dec 2020 19:02:16 GMT
• Title: Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels
• Authors: Ryan Brate, Paul Groth, Marieke van Erp
• Abstract summary: We present two variations on a semi-supervised approach to identify smell experiences in English literature. The combined set of patterns offer significantly better performance than a keyword-based baseline.
• Score: 1.5641335104467975
• License: http://creativecommons.org/licenses/by-sa/4.0/
• 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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