Learnit: On-demand rapid customization for event-event relation extraction

2Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

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

APA

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.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free