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

Autor:	Brate, Ryan, Groth, Paul, van Erp, Marieke
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language I.2.7
Druh dokumentu:	Working Paper
Popis:	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. Comment: Accepted to The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2020). Barcelona, Spain. December 2020./
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2011.08903 Zobrazit plný text záznamu View this record from Arxiv