Abstract
We present a system which allows a user to create eventevent 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.
Cite
CITATION STYLE
Min, B., Srivastava, M., Qiu, H., Muthukumar, P., & Fasching, J. (2020). Learnit: On-demand rapid customization for event-event relation extraction. In AAAI 2020 - 34th AAAI Conference on Artificial Intelligence (pp. 13630–13631). AAAI press. https://doi.org/10.1609/aaai.v34i09.7102
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.