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.
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CITATION STYLE
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
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