SemEval-2018 Task 9: Hypernym Discovery
TL
TL;DR
This paper 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.
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.
References59 items
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CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery
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ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora
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Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies
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EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery
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