KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents

4Citations
Citations of this article
77Readers
Mendeley users who have this article in their library.

Abstract

We present KOI (Knowledge of Incidents), a system that given news articles as input, builds a knowledge graph (KOI-KG) of incidental events. KOI-KG can then be used to efficiently answer questions such as “How many killing incidents happened in 2017 that involve Sean?” The required steps in building the KG include: (i) document preprocessing involving word sense disambiguation, named-entity recognition, temporal expression recognition and normalization, and semantic role labeling; (ii) incidental event extraction and coreference resolution via document clustering; and (iii) KG construction and population.

Cite

CITATION STYLE

APA

Mirza, P., Darari, F., & Mahendra, R. (2018). KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents. In NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop (pp. 81–87). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s18-1010

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free