@inproceedings{jenkins-etal-2023-massively,
    title = "Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search",
    author = "Jenkins, Chris  and
      Agarwal, Shantanu  and
      Barry, Joel  and
      Fincke, Steven  and
      Boschee, Elizabeth",
    editor = "Bollegala, Danushka  and
      Huang, Ruihong  and
      Ritter, Alan",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-demo.23",
    doi = "10.18653/v1/2023.acl-demo.23",
    pages = "247--256",
    abstract = "In this paper, we present ISI-Clear, a state-of-the-art, cross-lingual, zero-shot event extraction system and accompanying user interface for event visualization {\&} search. Using only English training data, ISI-Clear makes global events available on-demand, processing user-supplied text in 100 languages ranging from Afrikaans to Yiddish. We provide multiple event-centric views of extracted events, including both a graphical representation and a document-level summary. We also integrate existing cross-lingual search algorithms with event extraction capabilities to provide cross-lingual event-centric search, allowing English-speaking users to search over events automatically extracted from a corpus of non-English documents, using either English natural language queries (e.g. {``}cholera outbreaks in Iran{''}) or structured queries (e.g. find all events of type Disease-Outbreak with agent {``}cholera{''} and location {``}Iran{''}).",
}

In this paper, we present ISI-Clear, a state-of-the-art, cross-lingual, zero-shot event extraction system and accompanying user interface for event visualization {\&} search. Using only English training data, ISI-Clear makes global events available on-demand, processing user-supplied text in 100 languages ranging from Afrikaans to Yiddish. We provide multiple event-centric views of extracted events, including both a graphical representation and a document-level summary. We also integrate existing cross-lingual search algorithms with event extraction capabilities to provide cross-lingual event-centric search, allowing English-speaking users to search over events automatically extracted from a corpus of non-English documents, using either English natural language queries (e.g. {``}cholera outbreaks in Iran{''}) or structured queries (e.g. find all events of type Disease-Outbreak with agent {``}cholera{''} and location {``}Iran{''}).
Jenkins, Chris Agarwal, Shantanu Barry, Joel Fincke, Steven Boschee, Elizabeth
Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search