Understanding Karma Police: The Perceived Plausibility of Noun Compounds as Predicted by Distributional Models of Semantic Representation
Identifieur interne : 000003 ( Main/Exploration ); précédent : 000002; suivant : 000004Understanding Karma Police: The Perceived Plausibility of Noun Compounds as Predicted by Distributional Models of Semantic Representation
Auteurs : Fritz Günther [Allemagne] ; Marco Marelli [Belgique]Source :
- PLoS ONE [ 1932-6203 ] ; 2016.
Abstract
Noun compounds, consisting of two nouns (the
Url:
DOI: 10.1371/journal.pone.0163200
PubMed: 27732599
PubMed Central: 5061382
Affiliations:
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Understanding Karma Police: The Perceived Plausibility of Noun Compounds as Predicted by Distributional Models of Semantic Representation</title>
<author><name sortKey="Gunther, Fritz" sort="Gunther, Fritz" uniqKey="Gunther F" first="Fritz" last="Günther">Fritz Günther</name>
<affiliation wicri:level="3"><nlm:aff id="aff001"><addr-line>Department of Psychology, University of Tübingen, Tübingen, Germany</addr-line>
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<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Department of Psychology, University of Tübingen, Tübingen</wicri:regionArea>
<placeName><region type="land" nuts="1">Bade-Wurtemberg</region>
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<author><name sortKey="Marelli, Marco" sort="Marelli, Marco" uniqKey="Marelli M" first="Marco" last="Marelli">Marco Marelli</name>
<affiliation wicri:level="1"><nlm:aff id="aff002"><addr-line>Department of Experimental Psychology, Ghent University, Ghent, Belgium</addr-line>
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<country xml:lang="fr">Belgique</country>
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<front><div type="abstract" xml:lang="en"><p>Noun compounds, consisting of two nouns (the <italic>head</italic>
and the <italic>modifier</italic>
) that are combined into a single concept, differ in terms of their plausibility: <italic>school bus</italic>
is a more plausible compound than <italic>saddle olive</italic>
. The present study investigates which factors influence the plausibility of attested and novel noun compounds. Distributional Semantic Models (DSMs) are used to obtain formal (vector) representations of word meanings, and compositional methods in DSMs are employed to obtain such representations for noun compounds. From these representations, different plausibility measures are computed. Three of those measures contribute in predicting the plausibility of noun compounds: The relatedness between the meaning of the head noun and the compound (Head Proximity), the relatedness between the meaning of modifier noun and the compound (Modifier Proximity), and the similarity between the head noun and the modifier noun (Constituent Similarity). We find non-linear interactions between Head Proximity and Modifier Proximity, as well as between Modifier Proximity and Constituent Similarity. Furthermore, Constituent Similarity interacts non-linearly with the familiarity with the compound. These results suggest that a compound is perceived as more plausible if it can be categorized as an instance of the category denoted by the head noun, if the contribution of the modifier to the compound meaning is clear but not redundant, and if the constituents are sufficiently similar in cases where this contribution is not clear. Furthermore, compounds are perceived to be more plausible if they are more familiar, but mostly for cases where the relation between the constituents is less clear.</p>
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