A Distributional Model of Affordances in Semantic Type Coercion

Stephen McGregor, Elisabetta Jezek


Abstract
We explore a novel application for interpreting semantic type coercions, motivated by insight into the role that perceptual affordances play in the selection of the semantic roles of artefactual nouns which are observed as arguments for verbs which would stereotypically select for objects of a different type. In order to simulate affordances, which we take to be direct perceptions of context-specific opportunities for action, we preform a distributional analysis dependency relationships between target words and their modifiers and adjuncts. We use these relationships as the basis for generating on-line transformations which project semantic subspaces in which the interpretations of coercive compositions are expected to emerge as salient word-vectors. We offer some preliminary examples of how this model operates on a dataset of sentences involving coercive interactions between verbs and objects specifically designed to evaluate this work.
Anthology ID:
W19-0501
Volume:
Proceedings of the 13th International Conference on Computational Semantics - Short Papers
Month:
May
Year:
2019
Address:
Gothenburg, Sweden
Venues:
IWCS | WS
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–7
Language:
URL:
https://www.aclweb.org/anthology/W19-0501
DOI:
10.18653/v1/W19-0501
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-0501.pdf