Publikation
Semi-automatic Generation of Multiple-Choice Tests from Mentions of Semantic Relations.
Renlong Ai; Sebastian Krause; Walter Kasper; Feiyu Xu; Hans Uszkoreit
In: 2nd Workshop on Natural Language Processing Techniques for Educational Applications (NLP-TEA-2) at ACL-IJCNLP 2015. Workshop on Natural Language Processing Techniques for Educational Applications (NLP-TEA-2), 2nd, located at ACL-IJCNLP 2015, July 31, Beijing, China, ACL, 2015.
Zusammenfassung
We propose a strategy for the semi-automatic generation of learning material for reading-comprehension tests, guided by semantic relations embedded in expository texts. Our approach combines methods from the areas of information extraction and paraphrasing in order to present a language teacher with a set of candidate multiple-choice questions and answers that can be used for verifying a language learners reading capabilities. We implemented a web-based prototype showing the feasibility of our approach and carried out a pilot user evaluation that resulted in encouraging feedback but also pointed out aspects of the strategy and prototype implementation which need improvements.