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
knowledge in English (Medical and Music). Participants were allowed to compete in any or
all of the subtasks. Overall, a total of 11 teams participated, with a total of 39 different
systems submitted through all subtasks. Data, results and further information about the task
can be found at https://competitions. codalab. org/competitions/17119.