Comunicació presentada al 12th International Workshop on Semantic Evaluation (SemEval-2018), celebrat els dies 5 i 6 de juny de 2018 a Nova Orleans, EUA.

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.

The authors gratefully acknowledge the economic support in the construction of the datasets from the Maria de Maeztu-UPF Grant provided to Horacio Saggion, Luis Espinosa-Anke and Sergio Oramas; Google Research through the Google Doctoral Fellowship in Natural Language Processing to Jose Camacho-Collados; and Bar-Ilan University through Vered Shwartz. This work is partially supported by the TUNER project (TIN2015- 65308-C5-5-R, MINECO/FEDER, UE), Spanish Ministry of Economy and Competitiveness.