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2021 Vol.37, Issue 1 Preview Page

Research Article

May 2021. pp. 37-48
Abstract
The current study aims to introduce the ESFWN-based Event Structure Frame Type (ESF type) Classifier for English verbs in text. It is a component of the Event Structure-based Inference Generation (ESIG) system we designed to generate event structure-related inferences. The classifier annotates a proper ESF type to a verb in a given sentence using the Event Structure Frame-annotated WordNet (ESFWN) and the Word Sense Disambiguation algorithm named EWISER. The advantage of the classifier is that because its verb classification depends on ESFWN, we only need word sense disambiguation, which maps the target verb to its proper wordnet synset. Given the WordNet synset for the target verb, the classifier annotates the ESF type corresponding to the synset. The F1-score of the classifier is 84.71%.
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Information
  • Publisher :The Modern Linguistic Society of Korea
  • Publisher(Ko) :한국현대언어학회
  • Journal Title :The Journal of Studies in Language
  • Journal Title(Ko) :언어연구
  • Volume : 37
  • No :1
  • Pages :37-48