7102@AAAI

Total: 1

#1 LearnIt: On-Demand Rapid Customization for Event-Event Relation Extraction [PDF] [Copy] [Kimi]

Authors: 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.