Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop |
| Editors | Marianna Apidianaki, Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 712-724 |
| Number of pages | 13 |
| ISBN (Electronic) | 9781948087209 |
| DOIs | |
| State | Published - 2018 |
| Event | 12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018 - New Orleans, United States Duration: 5 Jun 2018 → 6 Jun 2018 |
Publication series
| Name | NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop |
|---|
Conference
| Conference | 12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018 |
|---|---|
| Country/Territory | United States |
| City | New Orleans |
| Period | 5/06/18 → 6/06/18 |
Bibliographical note
Publisher Copyright:© 2018 Association for Computational Linguistics
Funding
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. We would also like to thank the task participants who provided helpful inputs to improve the task through their comments in the Google Group.
| Funders | Funder number |
|---|---|
| Google Group | |
| Bar-Ilan University | TIN2015-65308-C5-5-R |
| Ministerio de Economía y Competitividad | |
| European Regional Development Fund |
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