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.
@article{arxiv.1806.01733,
title = {Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge},
author = {Robyn Speer and Joanna Lowry-Duda},
journal= {arXiv preprint arXiv:1806.01733},
year = {2018}
}