@inproceedings{attia-etal-2018-ghh,
title = "{GHH} at {S}em{E}val-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics",
author = "Attia, Mohammed and
Samih, Younes and
Faruqui, Manaal and
Maier, Wolfgang",
editor = "Apidianaki, Marianna and
Mohammad, Saif M. and
May, Jonathan and
Shutova, Ekaterina and
Bethard, Steven and
Carpuat, Marine",
booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S18-1155",
doi = "10.18653/v1/S18-1155",
pages = "947--952",
abstract = "This paper describes our system submission to the SemEval 2018 Task 10 on Capturing Discriminative Attributes. Given two concepts and an attribute, the task is to determine whether the attribute is semantically related to one concept and not the other. In this work we assume that discriminative attributes can be detected by discovering the association (or lack of association) between a pair of words. The hypothesis we test in this contribution is whether the semantic difference between two pairs of concepts can be treated in terms of measuring the distance between words in a vector space, or can simply be obtained as a by-product of word co-occurrence counts.",
}
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%0 Conference Proceedings
%T GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics
%A Attia, Mohammed
%A Samih, Younes
%A Faruqui, Manaal
%A Maier, Wolfgang
%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 attia-etal-2018-ghh
%X This paper describes our system submission to the SemEval 2018 Task 10 on Capturing Discriminative Attributes. Given two concepts and an attribute, the task is to determine whether the attribute is semantically related to one concept and not the other. In this work we assume that discriminative attributes can be detected by discovering the association (or lack of association) between a pair of words. The hypothesis we test in this contribution is whether the semantic difference between two pairs of concepts can be treated in terms of measuring the distance between words in a vector space, or can simply be obtained as a by-product of word co-occurrence counts.
%R 10.18653/v1/S18-1155
%U https://aclanthology.org/S18-1155
%U https://doi.org/10.18653/v1/S18-1155
%P 947-952
Markdown (Informal)
[GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics](https://aclanthology.org/S18-1155) (Attia et al., SemEval 2018)
ACL