📰 BEA 2019 — accepted papers

BEA 2019 is the 2019 edition of the Workshop on Innovative Use of NLP for Building Educational Applications (BEA), held in Florence, Italy, August 2019 (publisher: Association for Computational Linguistics). OpenAlex lists 52 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

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. A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning ↗Yo Joong Choe, Jiyeon Ham, Kyubyong Park et al.86 citations
4. Automated Essay Scoring with Discourse-Aware Neural Models ↗Farah Nadeem, Huy Nguyen, Yang Liu et al.79 citations
5. The many dimensions of algorithmic fairness in educational applications ↗Anastassia Loukina, Nitin Madnani, Klaus Zechner62 citations
6. Equity Beyond Bias in Language Technologies for Education ↗Elijah Mayfield, Michael Madaio, Shrimai Prabhumoye et al.58 citations
7. Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical Exam ↗Le An Ha, Victoria Yaneva, Peter Baldwin et al.47 citations
8. Context is Key: Grammatical Error Detection with Contextual Word Representations ↗Samuel Bell, Helen Yannakoudakis, Marek Rei36 citations
9. Learning to combine Grammatical Error Corrections ↗Yoav Kantor, Yoav Katz, Leshem Choshen et al.36 citations
10. Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring ↗Tomoya Mizumoto, Hiroki Ouchi, Yoriko Isobe et al.35 citations

All accepted papers (52)

The most cited first; 2 with our summary link to their page here, the others to the original.

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. A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning ↗Yo Joong Choe, Jiyeon Ham, Kyubyong Park et al.86 citations
4. Automated Essay Scoring with Discourse-Aware Neural Models ↗Farah Nadeem, Huy Nguyen, Yang Liu et al.79 citations
5. The many dimensions of algorithmic fairness in educational applications ↗Anastassia Loukina, Nitin Madnani, Klaus Zechner62 citations
6. Equity Beyond Bias in Language Technologies for Education ↗Elijah Mayfield, Michael Madaio, Shrimai Prabhumoye et al.58 citations
7. Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical Exam ↗Le An Ha, Victoria Yaneva, Peter Baldwin et al.47 citations
8. Context is Key: Grammatical Error Detection with Contextual Word Representations ↗Samuel Bell, Helen Yannakoudakis, Marek Rei36 citations
9. Learning to combine Grammatical Error Corrections ↗Yoav Kantor, Yoav Katz, Leshem Choshen et al.36 citations
10. Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring ↗Tomoya Mizumoto, Hiroki Ouchi, Yoriko Isobe et al.35 citations
11. The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error CorrectionDimitris Alikaniotis, Vipul Raheja35 citations · our summary
12. A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling Correction ↗Michael Flor, Michael Fried, Alla Rozovskaya25 citations
13. Regression or classification? Automated Essay Scoring for Norwegian ↗Stig Johan Berggren, Taraka Rama, Lilja Øvrelid25 citations
14. Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian ↗Alessio Miaschi, Chiara Alzetta, Franco Alberto Cardillo et al.24 citations
15. Analyzing Linguistic Complexity and Accuracy in Academic Language Development of German across Elementary and Secondary School ↗Zarah Weiss, Detmar Meurers23 citations
16. Erroneous data generation for Grammatical Error Correction ↗Shuyao Xu, Jiehao Zhang, Jin Chen et al.22 citations
17. How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models ↗Brian Riordan, Michael Flor, Robert Pugh21 citations
18. The AIP-Tohoku System at the BEA-2019 Shared Task ↗Hiroki Asano, Masato Mita, Tomoya Mizumoto et al.19 citations
19. Multi-headed Architecture Based on BERT for Grammatical Errors Correction ↗Bohdan Didenko, Julia Shaptala17 citations
20. On Understanding the Relation between Expert Annotations of Text Readability and Target Reader Comprehension ↗Sowmya Vajjala, Ivana Lucic17 citations
21. Neural and FST-based approaches to grammatical error correction ↗Zheng Yuan, Felix Stahlberg, Marek Rei et al.16 citations
22. TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track ↗Masahiro Kaneko, Kengo Hotate, Satoru Katsumata et al.15 citations
23. Computationally Modeling the Impact of Task-Appropriate Language Complexity and Accuracy on Human Grading of German Essays ↗Zarah Weiss, Anja Riemenschneider, Pauline Schröter et al.13 citations
24. Modeling language learning using specialized Elo rating ↗Jue Hou, Maximilian W. Koppatz, José María Hoya Quecedo et al.12 citations
25. Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning ↗Srikrishna Raamadhurai, Ryan Baker, Vikraman Poduval11 citations

See all 52 papers in BEA 2019 — accepted papers →

📄 Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. The BEA-2019 Shared Task on Grammatical Error CorrectionChristopher Bryant, Mariano Felice, Øistein E. Andersen, et al.2019 · 530 citations
2. The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error CorrectionWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Dimitris Alikaniotis, Vipul Raheja2019 · 52 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🖍️Grammatical error correction & learner language (2)🧠Language models & pretraining (1)

📚 Fields

🎭Arts and Humanities (2)🖥️Computer Science (2)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of CambridgeCambridge · United Kingdom1 work here🎓International Institute of Information Technology, HyderabadHyderabad · India1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/bea/2019/