Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge

Robyn Speer, Joanna Lowry-Duda


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.
Anthology ID:
S18-1162
Original:
S18-1162v1
Version 2:
S18-1162v2
Volume:
Proceedings of the 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
985–989
Language:
URL:
https://aclanthology.org/S18-1162
DOI:
10.18653/v1/S18-1162
Bibkey:
Cite (ACL):
Robyn Speer and Joanna Lowry-Duda. 2018. Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 985–989, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge (Speer & Lowry-Duda, SemEval 2018)
Copy Citation:
PDF:
https://aclanthology.org/S18-1162.pdf
Code
 LuminosoInsight/semeval-discriminatt
Data
ConceptNet