We investigate the effectiveness of semantic generalizations/classifications for capturing the regularities of the behavior of verbs in terms of their metaphoricity. Starting from orthographic word unigrams, we experiment with various ways of defining semantic classes for verbs (grammatical, resource-based, distributional) and measure the effectiveness of these classes for classifying all verbs in a running text as metaphor or non metaphor.
Reference REF focuses on the regularities of behavior of verbs, and she attempts various way of defining semantic generalization for verbs to detect metaphors.
Semantic classifications for detection of verb metaphors
ACL
Computer Science