Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis

Javier Álvez, Itziar Gonzalez-Dios, German Rigau


Abstract
We describe a detailed analysis of a sample of large benchmark of commonsense reasoning problems that has been automatically obtained from WordNet, SUMO and their mapping. The objective is to provide a better assessment of the quality of both the benchmark and the involved knowledge resources for advanced commonsense reasoning tasks. By means of this analysis, we are able to detect some knowledge misalignments, mapping errors and lack of knowledge and resources. Our final objective is the extraction of some guidelines towards a better exploitation of this commonsense knowledge framework by the improvement of the included resources.
Anthology ID:
2019.gwc-1.25
Volume:
Proceedings of the 10th Global Wordnet Conference
Month:
July
Year:
2019
Address:
Wroclaw, Poland
Editors:
Piek Vossen, Christiane Fellbaum
Venue:
GWC
SIG:
SIGLEX
Publisher:
Global Wordnet Association
Note:
Pages:
197–205
Language:
URL:
https://aclanthology.org/2019.gwc-1.25
DOI:
Bibkey:
Cite (ACL):
Javier Álvez, Itziar Gonzalez-Dios, and German Rigau. 2019. Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis. In Proceedings of the 10th Global Wordnet Conference, pages 197–205, Wroclaw, Poland. Global Wordnet Association.
Cite (Informal):
Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis (Álvez et al., GWC 2019)
Copy Citation:
PDF:
https://aclanthology.org/2019.gwc-1.25.pdf