Alicia Krebs

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2018

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SemEval-2018 Task 10: Capturing Discriminative Attributes
Alicia Krebs | Alessandro Lenci | Denis Paperno
Proceedings of the 12th International Workshop on Semantic Evaluation

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.

2016

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When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models
Alicia Krebs | Denis Paperno
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics

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Capturing Discriminative Attributes in a Distributional Space: Task Proposal
Alicia Krebs | Denis Paperno
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP

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