CAMIO: A Corpus for OCR in Multiple Languages

no code implementations • LREC 2022 • Michael Arrigo, Stephanie Strassel, Nolan King, Thao Tran, Lisa Mason

CAMIO (Corpus of Annotated Multilingual Images for OCR) is a new corpus created by Linguistic Data Consortium to serve as a resource to support the development and evaluation of optical character recognition (OCR) and related technologies for 35 languages across 24 unique scripts.

Optical Character Recognition Optical Character Recognition (OCR)

Corpus Building for Low Resource Languages in the DARPA LORELEI Program

no code implementations • WS 2019 • Jennifer Tracey, Stephanie Strassel, Ann Bies, Zhiyi Song, Michael Arrigo, Kira Griffitt, Dana Delgado, Dave Graff, Seth Kulick, Justin Mott, Neil Kuster

A New Dataset and Evaluation for Belief/Factuality

no code implementations • SEMEVAL 2015 • Vinodkumar Prabhakaran, Tomas By, Julia Hirschberg, Owen Rambow, Samira Shaikh, Tomek Strzalkowski, Jennifer Tracey, Michael Arrigo, Rupayan Basu, Micah Clark, Adam Dalton, Mona Diab, Louise Guthrie, Anna Prokofieva, Stephanie Strassel, Gregory Werner, Yorick Wilks, Janyce Wiebe

Knowledge Base Population