Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search

Chris Jenkins, Shantanu Agarwal, Joel Barry, Steven Fincke, Elizabeth Boschee
5/17/2023
cs.CL

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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).

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Cite this paper

@article{jenkins2023massively,
  title  = {Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search},
  author = {Chris Jenkins and Shantanu Agarwal and Joel Barry and Steven Fincke and Elizabeth Boschee},
  year   = {2023},
  eprint = {2305.10561},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.10561v1}
}

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