📰 BEA 2017 — accepted papers

BEA 2017 is the 2017 edition of the Workshop on Innovative Use of NLP for Building Educational Applications (BEA) (publisher: Association for Computational Linguistics). OpenAlex lists 52 papers of it; our library holds 1 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. A Report on the 2017 Native Language Identification Shared Task ↗Shervin Malmasi, Keelan Evanini, Aoife Cahill et al.160 citations
2. Investigating neural architectures for short answer scoring ↗Brian Riordan, Andrea Horbach, Aoife Cahill et al.151 citations
3. Multiple Choice Question Generation Utilizing An Ontology ↗Katherine Stasaski, Marti A. Hearst63 citations
4. Artificial Error Generation with Machine Translation and Syntactic PatternsMarek Rei, Mariano Felice, Zheng Yuan et al.48 citations · our summary
5. Connecting the Dots: Towards Human-Level Grammatical Error Correction ↗Shamil Chollampatt, Hwee Tou Ng47 citations
6. Distractor Generation for Chinese Fill-in-the-blank Items ↗Shu Jiang, John Lee43 citations
7. Using Gaze to Predict Text Readability ↗Ana Valeria González-Garduño, Anders Søgaard35 citations
8. A Large Scale Quantitative Exploration of Modeling Strategies for Content Scoring ↗Nitin Madnani, Anastassia Loukina, Aoife Cahill32 citations
9. The Power of Character N-grams in Native Language Identification ↗Artur Kulmizev, Bo Blankers, Johannes Bjerva et al.30 citations
10. Auxiliary Objectives for Neural Error Detection Models ↗Marek Rei, Helen Yannakoudakis29 citations

All accepted papers (52)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. A Report on the 2017 Native Language Identification Shared Task ↗Shervin Malmasi, Keelan Evanini, Aoife Cahill et al.160 citations
2. Investigating neural architectures for short answer scoring ↗Brian Riordan, Andrea Horbach, Aoife Cahill et al.151 citations
3. Multiple Choice Question Generation Utilizing An Ontology ↗Katherine Stasaski, Marti A. Hearst63 citations
4. Artificial Error Generation with Machine Translation and Syntactic PatternsMarek Rei, Mariano Felice, Zheng Yuan et al.48 citations · our summary
5. Connecting the Dots: Towards Human-Level Grammatical Error Correction ↗Shamil Chollampatt, Hwee Tou Ng47 citations
6. Distractor Generation for Chinese Fill-in-the-blank Items ↗Shu Jiang, John Lee43 citations
7. Using Gaze to Predict Text Readability ↗Ana Valeria González-Garduño, Anders Søgaard35 citations
8. A Large Scale Quantitative Exploration of Modeling Strategies for Content Scoring ↗Nitin Madnani, Anastassia Loukina, Aoife Cahill32 citations
9. The Power of Character N-grams in Native Language Identification ↗Artur Kulmizev, Bo Blankers, Johannes Bjerva et al.30 citations
10. Auxiliary Objectives for Neural Error Detection Models ↗Marek Rei, Helen Yannakoudakis29 citations
11. Question Difficulty – How to Estimate Without Norming, How to Use for Automated Grading ↗Ulrike Padó27 citations
12. Systematically Adapting Machine Translation for Grammatical Error Correction ↗Courtney Napoles, Chris Callison-Burch27 citations
13. Predicting Specificity in Classroom Discussion ↗Luca Lugini, Diane Litman22 citations
14. Structured Generation of Technical Reading Lists ↗Jonathan Gordon, Stephen Aguilar, Emily Sheng et al.21 citations
15. Stacked Sentence-Document Classifier Approach for Improving Native Language Identification ↗Andrea Cimino, Felice Dell'Orletta20 citations
16. Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System ↗Lifeng Jin, Michael White, Evan Jaffe et al.19 citations
17. Question Generation for Language Learning: From ensuring texts are read to supporting learning ↗Maria Chinkina, Detmar Meurers19 citations
18. CIC-FBK Approach to Native Language Identification ↗Ilia Markov, Lingzhen Chen, Carlo Strapparava et al.17 citations
19. Human and Automated CEFR-based Grading of Short Answers ↗Anaïs Tack, Thomas François, Sophie Roekhaut et al.17 citations
20. Native Language Identification on Text and Speech ↗Marcos Zampieri, Alina Maria Ciobanu, Liviu P. Dinu17 citations
21. Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities ↗Victoria Yaneva, Constantin Orăsan, Richard Evans et al.16 citations
22. Fine-grained essay scoring of a complex writing task for native speakers ↗Andrea Horbach, Dirk Scholten-Akoun, Yuning Ding et al.15 citations
23. Predicting Audience's Laughter During Presentations Using Convolutional Neural Network ↗Lei Chen, Chong Min Lee15 citations
24. Can string kernels pass the test of time in Native Language Identification? ↗Radu Tudor Ionescu, Marius Popescu14 citations
25. Fewer features perform well at Native Language Identification task ↗Taraka Rama, Çağrı Çöltekin13 citations

See all 52 papers in BEA 2017 — accepted papers →

📄 Papers with our summary in our library (1)

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

1. Artificial Error Generation with Machine Translation and Syntactic PatternsWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Marek Rei, Mariano Felice, Zheng Yuan, et al.2017 · 82 citations

🧭 Top topics

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

🔁Machine translation (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 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

works and citations from OpenAlex and our library.

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