Brighter than Gold: Figurative Language in User Generated Comparisons

34289

Authors

nan

Abstract

Comparisons are common linguistic de- vices used to indicate the likeness of two things. Often, this likeness is not meant in the literal sense—for example, “I slept like a log” does not imply that logs ac- tually sleep. In this paper we propose a computational study of figurative compar- isons, or similes. Our starting point is a new large dataset of comparisons extracted from product reviews and annotated for figurativeness. We use this dataset to char- acterize figurative language in naturally occurring comparisons and reveal linguis- tic patterns indicative of this phenomenon. We operationalize these insights and ap- ply them to a new task with high relevance to text understanding: distinguishing be- tween figurative and literal comparisons. Finally, we apply this framework to ex- plore the social context in which figurative language is produced, showing that simi- les are more likely to accompany opinions showing extreme sentiment, and that they are uncommon in reviews deemed helpful. 1

Keywords

nan

Full Content

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 2008–2018, October 25-29, 2014, Doha, Qatar. c⃝2014 Association for Computational Linguistics Brighter than Gold: Figurative Language in User Generated Comparisons Vlad Niculae and Cristian Danescu-Niculescu-Mizil MPI-SWS Cornell University vniculae@mpi-sws.org, cristian@mpi-sws.org Abstract Comparisons are common linguistic de- vices used to indicate the likeness of two things. Often, this likeness is not meant in the literal sense—for example, “I slept like a log” does not imply that logs ac- tually sleep. In this paper we propose a computational study of figurative compar- isons, or similes. Our starting point is a new large dataset of comparisons extracted from product reviews and annotated for figurativeness. We use this dataset to char- acterize figurative language in naturally occurring comparisons and reveal linguis- tic patterns indicative of this phenomenon. We operationalize these insights and ap- ply them to a new task with high relevance to text understanding: distinguishing be- tween figurative and literal comparisons. Finally, we apply this framework to ex- plore the social context in which figurative language is produced, showing that simi- les are more likely to accompany opinions showing extreme sentiment, and that they are uncommon in reviews deemed helpful. 1 Introduction In argument similes are like songs in love; they describe much, but prove nothing. — Franz Kafka Comparisons are fundamental linguistic devices that express the likeness of two things—be it en- tities, concepts or ideas. Given that their work- ing principle is to emphasize the relation between the shared properties of two arguments (Bredin, 1998), comparisons can synthesize important se- mantic knowledge. Often, comparisons are not meant to be under- stood literally. Figurative comparisons are an im- portant figure of speech called simile. Consider the following two examples paraphrased from Ama- zon product reviews: (1) Sterling is much cheaper than gold. (2) Her voice makes this song shine brighter than gold. In (1) the comparison draws on the relation be- tween the price property shared by the two metals, sterling and gold. While (2) also draws on a com- mon property (brightness), the polysemantic use (vocal timbre vs. light reflection) makes the com- parison figurative. Importantly, there is no general rule separating literal from figurative comparisons. More gen- erally, the distinction between figurative and lit- eral language is blurred and subjective (Hanks, 2006). Multiple criteria for delimiting the two have been proposed in the linguistic and philo- sophical literature—for a comprehensive review, see Shutova (2010)—but they are not without ex- ceptions, and are often hard to operationalize in a computational framework. When considering the specific case of comparisons, such criteria cannot be directly applied. Recently, the simile has received increasing at- tention from linguists and lexicographers (Moon, 2008; Moon, 2011; Hanks, 2013) as it became clearer that similes need to be treated separately from metaphors since they operate on funda- mentally different principles (Bethlehem, 1996). Metaphors are linguistically simple structures hid- ing a complex mapping between two domains, through which many properties are transferred. For example the …

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Labeled Text

Comparisons are common linguistic devices used to indicate the likeness of two things. Often, this likeness is not meant in the literal sense—for example, “I slept like a log” does not imply that logs actually sleep. In this paper we propose a computational study of figurative comparisons, or similes. Our starting point is a new large dataset of comparisons extracted from product reviews and annotated for figurativeness. We use this dataset to characterize figurative language in naturally occurring comparisons and reveal linguistic patterns indicative of this phenomenon. We operationalize these insights and apply them to a new task with high relevance to text understanding: distinguishing between figurative and literal comparisons. Finally, we apply this framework to explore the social context in which figurative language is produced, showing that similes are more likely to accompany opinions showing extreme sentiment, and that they are uncommon in reviews deemed helpful. 1

Publication Details

Paper ID:
34289
Year:
2014
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan