1 code implementation • NAACL (BEA) 2022 • Yuning Ding, Marie Bexte, Andrea Horbach
In this paper, we explore the role of topic information in student essays from an argument mining perspective.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Yuning Ding, Andrea Horbach, Torsten Zesch
As a review of prior work for Chinese content scoring shows a lack of open-access data in the field, we present two short-answer data sets for Chinese.
no code implementations • COLING 2020 • Yuning Ding, Brian Riordan, Andrea Horbach, Aoife Cahill, Torsten Zesch
Automatic content scoring systems are widely used on short answer tasks to save human effort.
1 code implementation • 7 Apr 2020 • Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Katya Artemova, Elena Tutubalina, Gerardo Chowell
As the COVID-19 pandemic continues its march around the world, an unprecedented amount of open data is being generated for genetics and epidemiological research.
no code implementations • WS 2017 • Andrea Horbach, Yuning Ding, Torsten Zesch
Spelling errors occur frequently in educational settings, but their influence on automatic scoring is largely unknown.
no code implementations • WS 2017 • Andrea Horbach, Dirk Scholten-Akoun, Yuning Ding, Torsten Zesch
Automatic essay scoring is nowadays successfully used even in high-stakes tests, but this is mainly limited to holistic scoring of learner essays.