Unsupervised Graph-based Word Sense Disambiguation Using lexical relation of WordNet

Word Sense Disambiguation (WSD) is one of tasks in the Natural Language Processing that uses to identifying the sense of words in context. To select the correct sense, we can use many approach. This paper uses a tree and graphconnectivity structure for finding the correct senses. This algorithm has few parameters and does not require senseannotated data for training. Performance evaluation on standard datasets showed it has the better accuracy than many previous graph base algorithms and decreases elapsed time.

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