Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Michael Flor"'
Publikováno v:
Journal of Intelligence, Vol 10, Iss 3, p 39 (2022)
Competency in skills associated with collaborative problem solving (CPS) is critical for many contexts, including school, the workplace, and the military. Innovative approaches for assessing individuals’ CPS competency are necessary, as traditional
Externí odkaz:
https://doaj.org/article/a19c22596a024fd3b484149e623c7dbc
Autor:
Swapna Somasundaran, Michael Flor, Martin Chodorow, Hillary Molloy, Binod Gyawali, Laura McCulla
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 6 (2021)
Externí odkaz:
https://doaj.org/article/3e4c90edbbae4e728c02bc644996d4df
Autor:
Michael Flor, Jessica Andrews‐Todd
Publikováno v:
Journal of Computer Assisted Learning. 38:1434-1447
Autor:
Matthew Roces, Ericka von Kaeppler, Claire Donnelley, Mayur Urva, Abigail Cortez, Kelsey Brown, Michael Flores, Patricia Rodarte, Kian Niknam, Francisco Gomez-Alvarado, Babapelumi Adejuyigbe, Lewis Zirkle, David Shearer
Publikováno v:
Journal of Orthopaedic Reports, Vol 3, Iss 4, Pp 100334- (2024)
Background: There is a disproportionate burden of musculoskeletal injury in low- and middle-income countries (LMICs). The SIGN Online Surgical Database (SOSD) serves as one of the only robust global trauma registries, with over 150,000 cases recorded
Externí odkaz:
https://doaj.org/article/46c20569fddb4d908d19e2dff2c51d49
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop.
Publikováno v:
ETS Research Report Series. 2019:1-17
Autor:
Michael Flor, Jiangang Hao
Publikováno v:
Methodology of Educational Measurement and Assessment ISBN: 9783030743932
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5050a70288911f57296df1f90f9a434
https://doi.org/10.1007/978-3-030-74394-9_14
https://doi.org/10.1007/978-3-030-74394-9_14
Publikováno v:
Fig-Lang@ACL
This paper describes the ETS entry to the 2020 Metaphor Detection shared task. Our contribution consists of a sequence of experiments using BERT, starting with a baseline, strengthening it by spell-correcting the TOEFL corpus, followed by a multi-tas
Publikováno v:
NUSE@ACL
This paper studies emotion arcs in student narratives. We construct emotion arcs based on event affect and implied sentiments, which correspond to plot elements in the story. We show that student narratives can show elements of plot structure in thei
Autor:
Michael Flor, Binod Gyawali, Martin Chodorow, Swapna Somasundaran, Laura McCulla, Hillary Molloy
Publikováno v:
Transactions of the Association for Computational Linguistics. 6:91-106
This work lays the foundation for automated assessments of narrative quality in student writing. We first manually score essays for narrative-relevant traits and sub-traits, and measure inter-annotator agreement. We then explore linguistic features t