@inproceedings{speer-lowry-duda-2018-luminoso,
title = "{L}uminoso at {S}em{E}val-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge",
author = "Speer, Robyn and
Lowry-Duda, Joanna",
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/S18-1162",
doi = "10.18653/v1/S18-1162",
pages = "985--989",
abstract = "Luminoso participated in the SemEval 2018 task on {``}Capturing Discriminative Attributes{''} with a system based on ConceptNet, an open knowledge graph focused on general knowledge. In this paper, we describe how we trained a linear classifier on a small number of semantically-informed features to achieve an F1 score of 0.7368 on the task, close to the task{'}s high score of 0.75.",
}
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%0 Conference Proceedings
%T Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge
%A Speer, Robyn
%A Lowry-Duda, Joanna
%S Proceedings of The 12th International Workshop on Semantic Evaluation
%D 2018
%8 jun
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F speer-lowry-duda-2018-luminoso
%X Luminoso participated in the SemEval 2018 task on “Capturing Discriminative Attributes” with a system based on ConceptNet, an open knowledge graph focused on general knowledge. In this paper, we describe how we trained a linear classifier on a small number of semantically-informed features to achieve an F1 score of 0.7368 on the task, close to the task’s high score of 0.75.
%R 10.18653/v1/S18-1162
%U https://aclanthology.org/S18-1162
%U https://doi.org/10.18653/v1/S18-1162
%P 985-989
Markdown (Informal)
[Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge](https://aclanthology.org/S18-1162) (Speer & Lowry-Duda, SemEval 2018)
ACL