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

• URL: http://arxiv.org/abs/2305.10561v1
• Date: Wed, 17 May 2023 20:41:51 GMT
• Title: Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search
• Authors: Chris Jenkins, Shantanu Agarwal, Joel Barry, Steven Fincke, Elizabeth Boschee
• Abstract summary: ISI-Clear is a state-of-the-art, cross-lingual, zero-shot event extraction system. It makes global events available on-demand, processing user-supplied text in 100 languages.
• Score: 2.633652471066059
• License: http://creativecommons.org/licenses/by/4.0/
• 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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