Ricerc@Sapienza

This paper describes the SemEval 2018 Shared Task on Hypernym Discovery. We put
forward this task as a complementary benchmark for modeling hypernymy, a problem which
has traditionally been cast as a binary classification task, taking a pair of candidate words as
input. Instead, our reformulated task is defined as follows: given an input term, retrieve (or
discover) its suitable hypernyms from a target corpus. We proposed five different subtasks
covering three languages (English, Spanish, and Italian), and two specific domains of