This is FourIE, a neural information extraction system developed by the
Natural Language Processing group at the
University of Oregon.
FourIE annotates text for entity mentions (names, pronouns, nominals), relations, event triggers and argument
roles using the information schema defined in the
FourIE leverages deep learning and graph convolutional networks to jointly perform four tasks in information
extraction, i.e., entity mention detection, relation extraction, event detection and argument role prediction in
an end-to-end fashion.
Our system achieves the state-of-the-art performance for joint information extraction on ACE 2005.
For more information, please check out our NAACL-HLT 2021 paper: Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks.
Please contact Thien Huu Nguyen at firstname.lastname@example.org if you have any questions/suggestions.
This tool works best with Google Chrome
Created by: Minh Van Nguyen Viet Dac Lai, Thien Huu Nguyen
Text to annotate (English only)
- Argument roles