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BEA 2019: all accepted papers

52 papers · the most cited first · ← BEA 2019

  1. The BEA-2019 Shared Task on Grammatical Error CorrectionChristopher Bryant, Mariano Felice, Øistein E. Andersen et al.285 citations · our summary
  2. Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data ↗Roman Grundkiewicz, Marcin Junczys-Dowmunt, Kenneth Heafield173 citations
  3. Automated Essay Scoring with Discourse-Aware Neural Models ↗Farah Nadeem, Huy Nguyen, Yang Liu et al.79 citations
  4. The many dimensions of algorithmic fairness in educational applications ↗Anastassia Loukina, Nitin Madnani, Klaus Zechner62 citations
  5. Equity Beyond Bias in Language Technologies for Education ↗Elijah Mayfield, Michael Madaio, Shrimai Prabhumoye et al.58 citations
  6. Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical Exam ↗Le An Ha, Victoria Yaneva, Peter Baldwin et al.47 citations
  7. Learning to combine Grammatical Error Corrections ↗Yoav Kantor, Yoav Katz, Leshem Choshen et al.36 citations
  8. Regression or classification? Automated Essay Scoring for Norwegian ↗Stig Johan Berggren, Taraka Rama, Lilja Øvrelid25 citations
  9. Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian ↗Alessio Miaschi, Chiara Alzetta, Franco Alberto Cardillo et al.24 citations
  10. Erroneous data generation for Grammatical Error Correction ↗Shuyao Xu, Jiehao Zhang, Jin Chen et al.22 citations
  11. The AIP-Tohoku System at the BEA-2019 Shared Task ↗Hiroki Asano, Masato Mita, Tomoya Mizumoto et al.19 citations
  12. Neural and FST-based approaches to grammatical error correction ↗Zheng Yuan, Felix Stahlberg, Marek Rei et al.16 citations
  13. Modeling language learning using specialized Elo rating ↗Jue Hou, Maximilian W. Koppatz, José María Hoya Quecedo et al.12 citations
  14. Measuring Text Complexity for Italian as a Second Language Learning Purposes ↗Luciana Forti, Alfredo Milani, Luisa Piersanti et al.11 citations
  15. Noisy Channel for Low Resource Grammatical Error Correction ↗Simon Flachs, Ophélie Lacroix, Anders Søgaard11 citations
  16. The LAIX Systems in the BEA-2019 GEC Shared Task ↗Ruobing Li, Chuan Wang, Yefei Zha et al.10 citations
  17. Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays ↗Yanjun Gao, Alex Driban, Brennan Xavier McManus et al.9 citations
  18. Analysing Rhetorical Structure as a Key Feature of Summary Coherence ↗Jan Šnajder, Tamara Sladoljev-Agejev, Svjetlana Kolić Vehovec5 citations
  19. Improving Precision of Grammatical Error Correction with a Cheat Sheet ↗Mengyang Qiu, Xuejiao Chen, Maggie Liu et al.5 citations
  20. Toward Automated Content Feedback Generation for Non-native Spontaneous Speech ↗Su-Youn Yoon, Ching-Ni Hsieh, Klaus Zechner et al.5 citations
  21. Content Customization for Micro Learning using Human Augmented AI Techniques ↗Ayush Shah, Tamer Abuelsaad, Jae-Wook Ahn et al.4 citations
  22. Anglicized Words and Misspelled Cognates in Native Language Identification ↗Ilia Markov, Vivi Nastase, Carlo Strapparava3 citations
  23. Artificial Error Generation with Fluency Filtering ↗Mengyang Qiu, Jungyeul Park2 citations
  24. Learning Outcomes and Their Relatedness in a Medical Curriculum ↗Sneha Mondal, Tejas Dhamecha, Shantanu Godbole et al.2 citations
  25. Simple Construction of Mixed-Language Texts for Vocabulary Learning ↗Adithya Renduchintala, Philipp Koehn, Jason Eisner2 citations
  26. The BLCU System in the BEA 2019 Shared Task ↗Liner Yang, Chencheng Wang2 citations
  27. Equipping Educational Applications with Domain Knowledge ↗Tarek Sakakini, Hongyu Gong, Jong Yoon Lee et al.1 citation
  28. Supporting content evaluation of student summaries by Idea Unit embedding ↗Marcello Gecchele, Hiroaki Yamada, Takenobu Tokunaga et al.

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