Duluth: Word Sense Discrimination in the Service of Lexicography
Ted Pedersen · 2015
This paper describes the Duluth systems that participated in Task 15 of SemEval 2015.The goal of the task was to automatically construct dictionary entries (via a series of three subtasks).Our systems participated in subtask 2, which involved automatically clustering the contexts in which a target word occurs into its different senses.Our results are consistent with previous word sense induction and discrimination findings, where it proves difficult to beat a baseline algorithm that assigns all instances of a target word to a single sense.However, our method of predicting the number of senses automatically fared quite well.