no code implementations • EMNLP (LAW, DMR) 2021 • Jens E. L. Van Gysel, Meagan Vigus, Lukas Denk, Andrew Cowell, Rosa Vallejos, Tim O’Gorman, William Croft
Computational resources such as semantically annotated corpora can play an important role in enabling speakers of indigenous minority languages to participate in government, education, and other domains of public life in their own language.
no code implementations • *SEM (NAACL) 2022 • Sameer Pradhan, Julia Bonn, Skatje Myers, Kathryn Conger, Tim O’Gorman, James Gung, Kristin Wright-Bettner, Martha Palmer
This paper describes the evolution of the PropBank approach to semantic role labeling over the last two decades.
no code implementations • EMNLP 2021 • Tim O’Gorman, Zach Jensen, Sheshera Mysore, Kevin Huang, Rubayyat Mahbub, Elsa Olivetti, Andrew McCallum
Material science synthesis procedures are a promising domain for scientific NLP, as proper modeling of these recipes could provide insight into new ways of creating materials.
no code implementations • DMR (COLING) 2020 • Meagan Vigus, Jens E. L. Van Gysel, Tim O’Gorman, Andrew Cowell, Rosa Vallejos, William Croft
This paper presents a “road map” for the annotation of semantic categories in typologically diverse languages, with potentially few linguistic resources, and often no existing computational resources.