@inproceedings{santus-etal-2018-bomji,
title = "{B}om{J}i at {S}em{E}val-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes",
author = "Santus, Enrico and
Biemann, Chris and
Chersoni, Emmanuele",
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/S18-1163",
doi = "10.18653/v1/S18-1163",
pages = "990--994",
abstract = "This paper describes BomJi, a supervised system for capturing discriminative attributes in word pairs (e.g. yellow as discriminative for banana over watermelon). The system relies on an XGB classifier trained on carefully engineered graph-, pattern- and word embedding-based features. It participated in the SemEval-2018 Task 10 on Capturing Discriminative Attributes, achieving an F1 score of 0.73 and ranking 2nd out of 26 participant systems.",
}
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%0 Conference Proceedings
%T BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes
%A Santus, Enrico
%A Biemann, Chris
%A Chersoni, Emmanuele
%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 santus-etal-2018-bomji
%X This paper describes BomJi, a supervised system for capturing discriminative attributes in word pairs (e.g. yellow as discriminative for banana over watermelon). The system relies on an XGB classifier trained on carefully engineered graph-, pattern- and word embedding-based features. It participated in the SemEval-2018 Task 10 on Capturing Discriminative Attributes, achieving an F1 score of 0.73 and ranking 2nd out of 26 participant systems.
%R 10.18653/v1/S18-1163
%U https://aclanthology.org/S18-1163
%U https://doi.org/10.18653/v1/S18-1163
%P 990-994
Markdown (Informal)
[BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes](https://aclanthology.org/S18-1163) (Santus et al., SemEval 2018)
ACL