@inproceedings{mirza-etal-2018-koi,
    title = "{KOI} at {S}em{E}val-2018 Task 5: Building Knowledge Graph of Incidents",
    author = "Mirza, Paramita  and
      Darari, Fariz  and
      Mahendra, Rahmad",
    editor = "Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      May, Jonathan  and
      Shutova, Ekaterina  and
      Bethard, Steven  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/S18-1010/",
    doi = "10.18653/v1/S18-1010",
    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 {\textquotedblleft}How many killing incidents happened in 2017 that involve Sean?{\textquotedblright} 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."
}