Wikifying software artifacts

Nassif, Mathieu; Robillard, Martin P.

doi:10.1007/s10664-020-09918-4

Cited by 4 publications

(1 citation statement)

References 41 publications

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“…Some recent work has also focused on wikification within a narrower problem domain, observing that typical general-purpose wikifiers may or may not perform well when applied to such a narrower domain. Examples include wikification of scientific abstracts [97], wikification for COVID-19 [98], and wikification of documents about software development [99]. Our work presented in this paper is involving wikification in the olfactory domain and may also be situated in this context.…”

Section: Computational Linguistics: Extracting Emotions and Smellsmentioning

confidence: 99%

Harvesting Context and Mining Emotions Related to Olfactory Cultural Heritage

Massri

Novalija

Mladenić

et al. 2022

MTI

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This paper presents an Artificial Intelligence approach to mining context and emotions related to olfactory cultural heritage narratives, particularly to fairy tales. We provide an overview of the role of smell and emotions in literature, as well as highlight the importance of olfactory experience and emotions from psychology and linguistic perspectives. We introduce a methodology for extracting smells and emotions from text, as well as demonstrate the context-based visualizations related to smells and emotions implemented in a novel smell tracker tool. The evaluation is performed using a collection of fairy tales from Grimm and Andersen. We find out that fairy tales often connect smell with the emotional charge of situations. The experimental results show that we can detect smells and emotions in fairy tales with an F1 score of 91.62 and 79.2, respectively.

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Section: Computational Linguistics: Extracting Emotions and Smellsmentioning

confidence: 99%