This competition is presented 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. Five different tasks are proposed covering three languages (English, Spanish, and Italian), and two specific domains of knowledge in English (Medical and Music).
Forum
Year
2018
Link to publication