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Bonan Min

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AAAI Conference 2020 System Paper

LearnIt: On-Demand Rapid Customization for Event-Event Relation Extraction

  • Bonan Min
  • Manaj Srivastava
  • Haoling Qiu
  • Prasannakumar Muthukumar
  • Joshua Fasching

We present a system which allows a user to create event-event relation extractors on-demand with a small amount of effort. The system provides a suite of algorithms, flexible workflows, and a user interface (UI), to allow rapid customization of event-event relation extractors for new types and domains of interest. Experiments show that it enables users to create extractors for 6 types of causal and temporal relations, with less than 20 minutes of effort per type. Our system (source code, UI) is available at https://github.com/BBN-E/LearnIt. A demonstration video is available at https://vimeo.com/329950144.

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