Logical Metonymy in a Distributional Model of Sentence Comprehension

Emmanuele Chersoni, Alessandro Lenci, Philippe Blache


Abstract
In theoretical linguistics, logical metonymy is defined as the combination of an event-subcategorizing verb with an entity-denoting direct object (e.g., The author began the book), so that the interpretation of the VP requires the retrieval of a covert event (e.g., writing). Psycholinguistic studies have revealed extra processing costs for logical metonymy, a phenomenon generally explained with the introduction of new semantic structure. In this paper, we present a general distributional model for sentence comprehension inspired by the Memory, Unification and Control model by Hagoort (2013,2016). We show that our distributional framework can account for the extra processing costs of logical metonymy and can identify the covert event in a classification task.
Anthology ID:
S17-1021
Volume:
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
168–177
Language:
URL:
https://www.aclweb.org/anthology/S17-1021
DOI:
10.18653/v1/S17-1021
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-1021.pdf