Table of Contents

• The many dimensions of algorithmic fairness in educational applicationsAnastassia Loukina, Nitin Madnani, Klaus Zechner. 1-10 [doi]
• Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical ExamLe An Ha, Victoria Yaneva, Peter Baldwin, Janet Mee. 11-20 [doi]
• An Intelligent Testing Strategy for Vocabulary Assessment of Chinese Second Language LearnersWei Zhou, Renfen Hu, Feipeng Sun, Ronghuai Huang. 21-29 [doi]
• Computationally Modeling the Impact of Task-Appropriate Language Complexity and Accuracy on Human Grading of German EssaysZarah Weiss, Anja Riemenschneider, Pauline Schröter, Detmar Meurers. 30-45 [doi]
• Analysing Rhetorical Structure as a Key Feature of Summary CoherenceJan Snajder, Tamara Sladoljev Agejev, Svjetlana Kolic Vehovec. 46-51 [doi]
• The BEA-2019 Shared Task on Grammatical Error CorrectionChristopher Bryant, Mariano Felice, Øistein E. Andersen, Ted Briscoe. 52-75 [doi]
• A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling CorrectionMichael Flor, Michael Fried, Alla Rozovskaya. 76-86 [doi]
• Artificial Error Generation with Fluency FilteringMengyang Qiu, Jungyeul Park. 87-91 [doi]
• Regression or classification? Automated Essay Scoring for NorwegianStig Johan Berggren, Taraka Rama, Lilja Øvrelid. 92-102 [doi]
• Context is Key: Grammatical Error Detection with Contextual Word RepresentationsSamuel Bell, Helen Yannakoudakis, Marek Rei. 103-115 [doi]
• How to account for mispellings: Quantifying the benefit of character representations in neural content scoring modelsBrian Riordan, Michael Flor, Robert Pugh. 116-126 [doi]
• The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error CorrectionDimitris Alikaniotis, Vipul Raheja, Joel R. Tetreault. 127-133 [doi]
• (Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable CorpusSatoru Katsumata, Mamoru Komachi. 134-138 [doi]
• Learning to combine Grammatical Error CorrectionsYoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim. 139-148 [doi]
• Erroneous data generation for Grammatical Error CorrectionShuyao Xu, Jiehao Zhang, Jin Chen, Long Qin. 149-158 [doi]
• The LAIX Systems in the BEA-2019 GEC Shared TaskRuobing Li, Chuan Wang, Yefei Zha, Yonghong Yu, Shiman Guo, Qiang Wang, Yang Liu, Hui Lin. 159-167 [doi]
• The CUED's Grammatical Error Correction Systems for BEA-2019Felix Stahlberg, Bill Byrne. 168-175 [doi]
• The AIP-Tohoku System at the BEA-2019 Shared TaskHiroki Asano, Masato Mita, Tomoya Mizumoto, Jun Suzuki. 176-182 [doi]
• CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error CorrectionJakub Náplava, Milan Straka. 183-190 [doi]
• Noisy Channel for Low Resource Grammatical Error CorrectionOphélie Lacroix, Simon Flachs, Anders Søgaard. 191-196 [doi]
• The BLCU System in the BEA 2019 Shared TaskLiner Yang, Chencheng Wang. 197-206 [doi]
• TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted TrackMasahiro Kaneko, Kengo Hotate, Satoru Katsumata, Mamoru Komachi. 207-212 [doi]
• A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer LearningYo Joong Choe, Jiyeon Ham, Kyubyong Park, Yeoil Yoon. 213-227 [doi]
• Neural and FST-based approaches to grammatical error correctionZheng Yuan, Felix Stahlberg, Marek Rei, Bill Byrne, Helen Yannakoudakis. 228-239 [doi]
• Improving Precision of Grammatical Error Correction with a Cheat SheetMengyang Qiu, Xuejiao Chen, Maggie Liu, Krishna Parvathala, Apurva Patil, Jungyeul Park. 240-245 [doi]
• Multi-headed Architecture Based on BERT for Grammatical Errors CorrectionBohdan Didenko, Julia Shaptala. 246-251 [doi]
• Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic DataRoman Grundkiewicz, Marcin Junczys-Dowmunt, Kenneth Heafield. 252-263 [doi]
• Evaluation of automatic collocation extraction methods for language learningVishal Bhalla, Klara Klimcikova. 264-274 [doi]
• Anglicized Words and Misspelled Cognates in Native Language IdentificationIlia Markov, Vivi Nastase, Carlo Strapparava. 275-284 [doi]
• Linguistically-Driven Strategy for Concept Prerequisites Learning on ItalianAlessio Miaschi, Chiara Alzetta, Franco Alberto Cardillo, Felice dell'Orletta. 285-295 [doi]
• Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second LanguageMio Arai, Masahiro Kaneko, Mamoru Komachi. 296-305 [doi]
• Toward Automated Content Feedback Generation for Non-native Spontaneous SpeechSu-Youn Yoon, Ching-Ni Hsieh, Klaus Zechner, Matthew Mulholland, Yuan Wang, Nitin Madnani. 306-315 [doi]
• Analytic Score Prediction and Justification Identification in Automated Short Answer ScoringTomoya Mizumoto, Hiroki Ouchi, Yoriko Isobe, Paul Reisert, Ryo Nagata, Satoshi Sekine, Kentaro Inui. 316-325 [doi]
• Content Customization for Micro Learning using Human Augmented AI TechniquesAyush Shah, Tamer Abuelsaad, Jae-wook Ahn, Prasenjit Dey, Ravi Kokku, Ruhi Sharma Mittal, Aditya Vempaty, Mourvi Sharma. 326-335 [doi]
• Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 LearningSrikrishna Raamadhurai, Ryan Baker 0001, Vikraman Poduval. 336-342 [doi]
• Supporting content evaluation of student summaries by Idea Unit embeddingMarcello Gecchele, Hiroaki Yamada, Takenobu Tokunaga, Yasuyo Sawaki. 343-348 [doi]
• On Understanding the Relation between Expert Annotations of Text Readability and Target Reader ComprehensionSowmya Vajjala, Ivana Lucic. 349-359 [doi]
• Measuring Text Complexity for Italian as a Second Language Learning PurposesLuciana Forti, Alfredo Milani, Luisa Piersanti, Filippo Santarelli, Valentino Santucci, Stefania Spina. 360-368 [doi]
• Simple Construction of Mixed-Language Texts for Vocabulary LearningAdithya Renduchintala, Philipp Koehn, Jason Eisner. 369-379 [doi]
• Analyzing Linguistic Complexity and Accuracy in Academic Language Development of German across Elementary and Secondary SchoolZarah Weiss, Detmar Meurers. 380-393 [doi]
• Content Modeling for Automated Oral Proficiency Scoring SystemSu-Youn Yoon, Chong Min Lee. 394-401 [doi]
• Learning Outcomes and Their Relatedness in a Medical CurriculumSneha Mondal, Tejas I. Dhamecha, Shantanu Godbole, Smriti Pathak, Red Mendoza, K. Gayathri Wijayarathna, Nabil Zary, Swarnadeep Saha, Malolan Chetlur. 402-411 [doi]
• Measuring text readability with machine comprehension: a pilot studyMarc Benzahra, François Yvon. 412-422 [doi]
• Metaphors in Text Simplification: To change or not to change, that is the questionYulia Clausen, Vivi Nastase. 423-434 [doi]
• Application of an Automatic Plagiarism Detection System in a Large-scale Assessment of English Speaking ProficiencyXinhao Wang, Keelan Evanini, Matthew Mulholland, Yao Qian, James V. Bruno. 435-443 [doi]
• Equity Beyond Bias in Language Technologies for EducationElijah Mayfield, Michael Madaio, Shrimai Prabhumoye, David Gerritsen, Brittany McLaughlin, Ezekiel Dixon-Román, Alan W. Black. 444-460 [doi]
• From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example SentencesChieh-Yang Huang, Yi-Ting Huang, Mei-hua Chen, Lun-Wei Ku. 461-471 [doi]
• Equipping Educational Applications with Domain KnowledgeTarek Sakakini, Hongyu Gong, Jong Yoon Lee, Robert Schloss, Jinjun Xiong, Suma Bhat. 472-477 [doi]
• The Unbearable Weight of Generating Artificial Errors for Grammatical Error CorrectionPhu Mon Htut, Joel R. Tetreault. 478-483 [doi]
• Automated Essay Scoring with Discourse-Aware Neural ModelsFarah Nadeem, Huy Nguyen, Yang Liu 0134, Mari Ostendorf. 484-493 [doi]
• Modeling language learning using specialized Elo ratingJue Hou, Koppatz Maximilian, José María Hoya Quecedo, Nataliya Stoyanova, Roman Yangarber. 494-506 [doi]
• Rubric Reliability and Annotation of Content and Argument in Source-Based Argument EssaysYanjun Gao, Alex Driban, Brennan Xavier McManus, Elena Musi, Patricia M. Davies, Smaranda Muresan, Rebecca J. Passonneau. 507-518 [doi]