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        <title>SemEval-2018 Task 10: Capturing Discriminative Attributes</title>
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    <abstract>This paper describes the SemEval 2018 Task 10 on Capturing Discriminative Attributes. Participants were asked to identify whether an attribute could help discriminate between two concepts. For example, a successful system should determine that ‘urine’ is a discriminating feature in the word pair ‘kidney’, ‘bone’. The aim of the task is to better evaluate the capabilities of state of the art semantic models, beyond pure semantic similarity. The task attracted submissions from 21 teams, and the best system achieved a 0.75 F1 score.</abstract>
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%0 Conference Proceedings
%T SemEval-2018 Task 10: Capturing Discriminative Attributes
%A Krebs, Alicia
%A Lenci, Alessandro
%A Paperno, Denis
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F krebs-etal-2018-semeval
%X This paper describes the SemEval 2018 Task 10 on Capturing Discriminative Attributes. Participants were asked to identify whether an attribute could help discriminate between two concepts. For example, a successful system should determine that ‘urine’ is a discriminating feature in the word pair ‘kidney’, ‘bone’. The aim of the task is to better evaluate the capabilities of state of the art semantic models, beyond pure semantic similarity. The task attracted submissions from 21 teams, and the best system achieved a 0.75 F1 score.
%R 10.18653/v1/S18-1117
%U https://aclanthology.org/S18-1117
%U https://doi.org/10.18653/v1/S18-1117
%P 732-740

Markdown (Informal)

[SemEval-2018 Task 10: Capturing Discriminative Attributes](https://aclanthology.org/S18-1117) (Krebs et al., SemEval 2018)

• SemEval-2018 Task 10: Capturing Discriminative Attributes (Krebs et al., SemEval 2018)

ACL

• Alicia Krebs, Alessandro Lenci, and Denis Paperno. 2018. SemEval-2018 Task 10: Capturing Discriminative Attributes. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 732–740, New Orleans, Louisiana. Association for Computational Linguistics.