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 befindet sich ACL-IJCNLP 2015 July 31 Beijing China ACL 2015.

Abstrakt

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.

Projekte

semi_automatic_generation_of_multiple_choice_tests_from_mentions_of_semantic_relations_ACL_NLP-TEA_2015.pdf (pdf, 1 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence