Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions
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Oier Lopez de Lacalle | Montse Maritxalar | Andrea Horbach | Itziar Aldabe | Marie Bexte | M. Maritxalar | Itziar Aldabe | Andrea Horbach | Marie Bexte
[1] Philipp Koehn,et al. Re-evaluating the Role of Bleu in Machine Translation Research , 2006, EACL.
[2] Peter Clark,et al. Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering , 2018, EMNLP.
[3] Mitesh M. Khapra,et al. Towards a Better Metric for Evaluating Question Generation Systems , 2018, EMNLP.
[4] Rodney D. Nielsen,et al. Linguistic Considerations in Automatic Question Generation , 2014, ACL.
[5] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[6] Ming-Wei Chang,et al. Natural Questions: A Benchmark for Question Answering Research , 2019, TACL.
[7] Matthew Richardson,et al. MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text , 2013, EMNLP.
[8] Tomoko Kojiri,et al. Automatic Question Generation for Educational Applications - The State of Art , 2014, ICCSAMA.
[9] Yoshua Bengio,et al. HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering , 2018, EMNLP.
[10] Richard R. Day,et al. Developing Reading Comprehension Questions. , 2005 .
[11] Jie Yang,et al. LearningQ: A Large-Scale Dataset for Educational Question Generation , 2018, ICWSM.
[12] Jason Weston,et al. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks , 2015, ICLR.
[13] Danielle S McNamara,et al. Comparing comprehension measured by multiple-choice and open-ended questions. , 2013, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.
[14] Nelson F. Liu,et al. Crowdsourcing Multiple Choice Science Questions , 2017, NUT@EMNLP.
[15] Dan Roth,et al. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences , 2018, NAACL.
[16] Luke S. Zettlemoyer,et al. Large-Scale QA-SRL Parsing , 2018, ACL.
[17] Jonghyun Choi,et al. Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Jianfeng Gao,et al. A Human Generated MAchine Reading COmprehension Dataset , 2018 .
[19] Jian Zhang,et al. SQuAD: 100,000+ Questions for Machine Comprehension of Text , 2016, EMNLP.
[20] Philip Bachman,et al. NewsQA: A Machine Comprehension Dataset , 2016, Rep4NLP@ACL.
[21] Paul Piwek,et al. Evaluation methodologies in Automatic Question Generation 2013-2018 , 2018, INLG.
[22] Kyunghyun Cho,et al. SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine , 2017, ArXiv.
[23] Yi Yang,et al. WikiQA: A Challenge Dataset for Open-Domain Question Answering , 2015, EMNLP.
[24] Eunsol Choi,et al. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension , 2017, ACL.
[25] Xinya Du,et al. Learning to Ask: Neural Question Generation for Reading Comprehension , 2017, ACL.
[26] Chris Dyer,et al. The NarrativeQA Reading Comprehension Challenge , 2017, TACL.
[27] Pushpak Bhattacharyya,et al. Some Issues in Automatic Evaluation of English-Hindi MT: More Blues for BLEU , 2006 .
[28] Noah A. Smith,et al. Automatic factual question generation from text , 2011 .
[29] R. Hwa,et al. Question Generation as a Competitive Undergraduate Course Project , 2008 .