@inproceedings{desai-etal-2018-generating,
title = "Generating Questions for Reading Comprehension using Coherence Relations",
author = "Desai, Takshak and
Dakle, Parag and
Moldovan, Dan",
booktitle = "Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-3701",
doi = "10.18653/v1/W18-3701",
pages = "1--10",
abstract = "In this paper, we have proposed a technique for generating complex reading comprehension questions from a discourse that are more useful than factual ones derived from assertions. Our system produces a set of general-level questions using coherence relations and a set of well-defined syntactic transformations on the input text. Generated questions evaluate comprehension abilities like a comprehensive analysis of the text and its structure, correct identification of the author{'}s intent, a thorough evaluation of stated arguments; and a deduction of the high-level semantic relations that hold between text spans. Experiments performed on the RST-DT corpus allow us to conclude that our system possesses a strong aptitude for generating intricate questions. These questions are capable of effectively assessing a student{'}s interpretation of the text.",
}
Markdown (Informal)
[Generating Questions for Reading Comprehension using Coherence Relations](https://aclanthology.org/W18-3701) (Desai et al., NLP-TEA 2018)
ACL