Automatic Detection of Non-deverbal Event Nouns for Quick Lexicon Production
This work addresses the need for efficient lexicon development in computational linguistics, though it appears incremental as it builds on existing classification methods with a specific feature selection approach.
The paper tackled the problem of automatically detecting non-deverbal event nouns to speed up lexicon production, showing that using linguistic lexical-class information as a feature selection method can significantly reduce human effort in developing language resources.
In this work we present the results of our experimental work on the develop-ment of lexical class-based lexica by automatic means. The objective is to as-sess the use of linguistic lexical-class based information as a feature selection methodology for the use of classifiers in quick lexical development. The results show that the approach can help in re-ducing the human effort required in the development of language resources sig-nificantly.