Search Results for author: Tim O’Gorman

Found 4 papers, 0 papers with code

Theoretical and Practical Issues in the Semantic Annotation of Four Indigenous Languages

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.

Cross-lingual annotation: a road map for low- and no-resource languages

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.

MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text

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.

named-entity-recognition Named Entity Recognition +1

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