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The Design of Online Environments (Political Hashtags) and the Quality of Democratic Discourse At-Scale
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Living Machines atypical animacy dataset ...
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: British Library, 2020
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Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels ...
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Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels ...
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Abstract:
Dataset accompanying "Ryan Brate, Paul Groth and Marieke van Erp (2020) Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels. LaTeCH-CLfL 2020. Barcelona, December 2020." 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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Keyword:
computational linguistics; information extraction; novels; olfactory language
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URL: https://dx.doi.org/10.5281/zenodo.4199995 https://zenodo.org/record/4199995
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THE FUTURE TENSE PROPERTIES of UYGHUR and TURKISH
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In: Zeitschrift für die Welt der Türken / Journal of World of Turks; Vol 12, No 2 (2020): [ZFWT] VOL. 12, NO. 2 (2020); 69-80 (2020)
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