@InProceedings{mirza-darari-mahendra:2018:S18-1,
  author    = {Mirza, Paramita  and  Darari, Fariz  and  Mahendra, Rahmad},
  title     = {KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {81--87},
  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.},
  url       = {http://www.aclweb.org/anthology/S18-1010}
}