ESFWN-based Event Structure Frame Type Classifier for Event Structure-dependent Inferencing
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참고문헌
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초록
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 by using the ESFWN and the WSD 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%.
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 by using the ESFWN and the WSD 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%.
참고문헌 (20)
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