Unsupervised weighted graph for Word Sense Disambiguation
Ehsan Hessami, Faribourz Mahmoudi, Amir Hossein Jadidinejad · 2011
Word Sense Disambiguation is one of the essential tasks in the Natural Language Processing that it used to identify the correct sense of words. There are many approaches for Word Sense Disambiguation that in this paper proposes an algorithm based on weighted graph which has few parameters and does not require sense-annotated data for training. Also we used standard data sets to evaluate the algorithm.