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

Paramita Mirza, Fariz Darari, Rahmad Mahendra


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 “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.
Anthology ID:
S18-1010
Volume:
Proceedings of The 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
81–87
Language:
URL:
https://www.aclweb.org/anthology/S18-1010
DOI:
10.18653/v1/S18-1010
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1010.pdf