Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction

no code implementations • NAACL (HCINLP) 2022 • Mihai Surdeanu, John Hungerford, Yee Seng Chan, Jessica MacBride, Benjamin Gyori, Andrew Zupon, Zheng Tang, Haoling Qiu, Bonan Min, Yan Zverev, Caitlin Hilverman, Max Thomas, Walter Andrews, Keith Alcock, Zeyu Zhang, Michael Reynolds, Steven Bethard, Rebecca Sharp, Egoitz Laparra

An existing domain taxonomy for normalizing content is often assumed when discussing approaches to information extraction, yet often in real-world scenarios there is none. When one does exist, as the information needs shift, it must be continually extended.

Text Summarization

Towards Few-Shot Event Mention Retrieval: An Evaluation Framework and A Siamese Network Approach

no code implementations • LREC 2020 • Bonan Min, Yee Seng Chan, Lingjun Zhao

Previous approaches treat event extraction as {``}one size fits all{''} with an ontology defined a priori.

Decision Making Event Extraction +1

Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature

no code implementations • IJCNLP 2019 • Bonan Min, Yee Seng Chan, Haoling Qiu, Joshua Fasching

Solving long-lasting problems such as food insecurity requires a comprehensive understanding of interventions applied by governments and international humanitarian assistance organizations, and their results and consequences.

Humanitarian Reading Comprehension

Rapid Customization for Event Extraction

no code implementations • ACL 2019 • Yee Seng Chan, Joshua Fasching, Haoling Qiu, Bonan Min

We present a system for rapidly customizing event extraction capability to find new event types and their arguments.

Event Extraction