The Relationship between Semantic Similarity and Subcategorization Frames in English: A Stochastic Test Using ICE-GB and WordNet
Year: 2008
Type: conference-paper
Abstract: . In this paper, we test a working hypothesis that there is a significant relationship between semantic similarity and subcategorization frames in English. This paper is under the assumption that if a group of verbs form a cluster sharing a similar meaning, they tend to share subcategorization frames. In the process, we propose a statistical method to test this assumption, making use of two language resources, namely, ICE-GB and WordNet. We come to the conclusion that the proposed hypothesis holds true to the degrees of 42~73%, based on our stochastic analysis.
Authors: Sanghoun Song, Jae-Woong Choe
Institution: Korea University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W755088721