Abstract
Selection of information from external sources is an important skill assessed in educational measurement. We address an integrative summarization task used in an assessment of English proficiency for nonnative speakers applying to higher education institutions in the USA.We evaluate a variety of content importance models that help predict which parts of the source material should be selected by the test-taker in order to succeed on this task. © 2014 Association for Computational Linguistics.
Cite
CITATION STYLE
Klebanov, B. B., Madnani, N., Burstein, J., & Somasundaran, S. (2014). Content importance models for scoring writing from sources. In 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference (Vol. 2, pp. 247–252). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/p14-2041
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
