Automatically inferring implicit properties in similes
A simile is a figure of speech comparing two fundamentally different things. Sometimes, a simile will explain the basis of a comparison by explicitly mentioning a shared property. For example, "my room is as cold as Antarctica" gives "cold" as the property shared by the room and...
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ftcdlib:oai:escholarship.org/ark:/13030/qt1k59345h 2023-05-15T14:01:12+02:00 Automatically inferring implicit properties in similes Qadir, A Riloff, E Walker, MA 2016-01-01 application/pdf https://escholarship.org/uc/item/1k59345h unknown eScholarship, University of California qt1k59345h https://escholarship.org/uc/item/1k59345h public article 2016 ftcdlib 2021-04-16T07:10:22Z A simile is a figure of speech comparing two fundamentally different things. Sometimes, a simile will explain the basis of a comparison by explicitly mentioning a shared property. For example, "my room is as cold as Antarctica" gives "cold" as the property shared by the room and Antarctica. But most similes do not give an explicit property (e.g., "my room feels like Antarctica") leaving the reader to infer that the room is cold. We tackle the problem of automatically inferring implicit properties evoked by similes. Our approach involves three steps: (1) generating candidate properties from different sources, (2) evaluating properties based on the influence of multiple simile components, and (3) aggregated ranking of the properties. We also present an analysis showing that the difficulty of inferring an implicit property for a simile correlates with its interpretive diversity. Article in Journal/Newspaper Antarc* Antarctica University of California: eScholarship |
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University of California: eScholarship |
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description |
A simile is a figure of speech comparing two fundamentally different things. Sometimes, a simile will explain the basis of a comparison by explicitly mentioning a shared property. For example, "my room is as cold as Antarctica" gives "cold" as the property shared by the room and Antarctica. But most similes do not give an explicit property (e.g., "my room feels like Antarctica") leaving the reader to infer that the room is cold. We tackle the problem of automatically inferring implicit properties evoked by similes. Our approach involves three steps: (1) generating candidate properties from different sources, (2) evaluating properties based on the influence of multiple simile components, and (3) aggregated ranking of the properties. We also present an analysis showing that the difficulty of inferring an implicit property for a simile correlates with its interpretive diversity. |
format |
Article in Journal/Newspaper |
author |
Qadir, A Riloff, E Walker, MA |
spellingShingle |
Qadir, A Riloff, E Walker, MA Automatically inferring implicit properties in similes |
author_facet |
Qadir, A Riloff, E Walker, MA |
author_sort |
Qadir, A |
title |
Automatically inferring implicit properties in similes |
title_short |
Automatically inferring implicit properties in similes |
title_full |
Automatically inferring implicit properties in similes |
title_fullStr |
Automatically inferring implicit properties in similes |
title_full_unstemmed |
Automatically inferring implicit properties in similes |
title_sort |
automatically inferring implicit properties in similes |
publisher |
eScholarship, University of California |
publishDate |
2016 |
url |
https://escholarship.org/uc/item/1k59345h |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
qt1k59345h https://escholarship.org/uc/item/1k59345h |
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public |
_version_ |
1766270797233520640 |