no code implementations • NLPerspectives (LREC) 2022 • Christopher Homan, Tharindu Cyril Weerasooriya, Lora Aroyo, Chris Welty
Annotator disagreement is often dismissed as noise or the result of poor annotation process quality.
no code implementations • WMT (EMNLP) 2021 • Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondřej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-Jussa, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri
This paper presents the results of the newstranslation task, the multilingual low-resourcetranslation for Indo-European languages, thetriangular translation task, and the automaticpost-editing task organised as part of the Con-ference on Machine Translation (WMT) 2021. In the news task, participants were asked tobuild machine translation systems for any of10 language pairs, to be evaluated on test setsconsisting mainly of news stories.
no code implementations • 9 Nov 2023 • Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex Taylor, Mark Díaz, Ding Wang
Recent advancements in conversational AI have created an urgent need for safety guardrails that prevent users from being exposed to offensive and dangerous content.
1 code implementation • Findings of the Association for Computational Linguistics: ACL 2023 2023 • Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur KhudaBukhsh, Christopher Homan
Annotator disagreement is common whenever human judgment is needed for supervised learning.
no code implementations • loresmt (AACL) 2020 • Allahsera Auguste Tapo, Bakary Coulibaly, Sébastien Diarra, Christopher Homan, Julia Kreutzer, Sarah Luger, Arthur Nagashima, Marcos Zampieri, Michael Leventhal
Low-resource languages present unique challenges to (neural) machine translation.
no code implementations • NAACL 2018 • McKenna Tornblad, Luke Lapresi, Christopher Homan, Raymond Ptucha, Cecilia Ovesdotter Alm
While labor issues and quality assurance in crowdwork are increasingly studied, how annotators make sense of texts and how they are personally impacted by doing so are not.
no code implementations • WS 2017 • Alex Calderwood, er, Elizabeth A. Pruett, Raymond Ptucha, Christopher Homan, Cecilia Ovesdotter Alm
Interpersonal violence (IPV) is a prominent sociological problem that affects people of all demographic backgrounds.
no code implementations • COLING 2016 • Andamlak Terkik, Emily Prud{'}hommeaux, Cecilia Ovesdotter Alm, Christopher Homan, Scott Franklin
University students in the United States are routinely asked to provide feedback on the quality of the instruction they have received.