Papers by Dongsuk O

1 papers
Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based Graph (C18-1)

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Challenge: Existing methods to determine the word sense have fewer word set constraints than unsupervised methods.
Approach: They propose a new word sense disambiguation method that generates the context of an ambiguous word by using similarities between an amorphous word and words in the input document.
Outcome: The proposed method outperforms the baseline method on the SemEval-13 and SemEx15 datasets and has higher performance than the state-of-the-art unsupervised knowledge-based system.

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