📰 BEA 2018: all accepted papers

50 papers · the most cited first · ← BEA 2018

1. A Report on the Complex Word Identification Shared Task 2018 ↗Seid Muhie Yimam, Chris Biemann, Shervin Malmasi et al.132 citations
2. OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplificationSowmya Vajjala, Ivana Lučić108 citations · our summary
3. Second Language Acquisition Modeling ↗Burr Settles, Chris Brust, Erin Gustafson et al.72 citations
4. Distractor Generation for Multiple Choice Questions Using Learning to Rank ↗Chen Liang, Xiao Yang, Neisarg Dave et al.66 citations
5. Co-Attention Based Neural Network for Source-Dependent Essay Scoring ↗Haoran Zhang, Diane Litman49 citations
6. Language Model Based Grammatical Error Correction without Annotated Training Data ↗Christopher Bryant, Ted Briscoe44 citations
7. CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting ↗Sian Gooding, Ekaterina Kochmar43 citations
8. A Semantic Role-based Approach to Open-Domain Automatic Question Generation ↗Michael Flor, Brian Riordan38 citations
9. Estimating Linguistic Complexity for Science Texts ↗Farah Nadeem, Mari Ostendorf33 citations
10. Experiments with Universal CEFR Classification ↗Sowmya Vajjala, Taraka Rama33 citations
11. Complex Word Identification Based on Frequency in a Learner Corpus ↗Tomoyuki Kajiwara, Mamoru Komachi26 citations
12. Generating Feedback for English Foreign Language Exercises ↗Björn Rudzewitz, Ramon Ziai, Kordula De Kuthy et al.25 citations
13. Towards Single Word Lexical Complexity Prediction ↗David Alfter, Elena Volodina25 citations
14. Automatic Distractor Suggestion for Multiple-Choice Tests Using Concept Embeddings and Information Retrieval ↗Le An Ha, Victoria Yaneva24 citations
15. NILC at CWI 2018: Exploring Feature Engineering and Feature Learning ↗Nathan Hartmann, Leandro Borges dos Santos21 citations
16. Deep Learning Architecture for Complex Word Identification ↗Dirk De Hertog, Anaïs Tack19 citations
17. Annotation and Classification of Sentence-level Revision Improvement ↗Tazin Afrin, Diane Litman18 citations
18. Complex Word Identification: Convolutional Neural Network vs. Feature Engineering ↗Segun Taofeek Aroyehun, Jason Angel, Daniel Alejandro Pérez Alvarez et al.18 citations
19. Predicting misreadings from gaze in children with reading difficulties ↗Joachim Bingel, Maria Barrett, Sigrid Klerke18 citations
20. Deep Factorization Machines for Knowledge Tracing ↗Jill-Jênn Vie16 citations
21. Cross-Lingual Content Scoring ↗Andrea Horbach, Sebastian Stennmanns, Torsten Zesch14 citations
22. NT2Lex: A CEFR-Graded Lexical Resource for Dutch as a Foreign Language Linked to Open Dutch WordNet ↗Anaïs Tack, Thomas François, Piet Desmet et al.13 citations
23. UnibucKernel: A kernel-based learning method for complex word identification ↗Andrei Butnaru, Radu Tudor Ionescu12 citations
24. Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System ↗Lifeng Jin, David King, Amad Hussein et al.12 citations
25. Using exemplar responses for training and evaluating automated speech scoring systems ↗Anastassia Loukina, Klaus Zechner, James Bruno et al.12 citations
26. Cross-lingual complex word identification with multitask learning ↗Joachim Bingel, Johannes Bjerva11 citations
27. The Whole is Greater than the Sum of its Parts: Towards the Effectiveness of Voting Ensemble Classifiers for Complex Word Identification ↗Nikhil Wani, Sandeep Mathias, Jayashree Aanand Gajjam et al.11 citations
28. LaSTUS/TALN at Complex Word Identification (CWI) 2018 Shared Task ↗Ahmed AbuRa'ed, Horacio Saggion10 citations
29. SB@GU at the Complex Word Identification 2018 Shared Task ↗David Alfter, Ildikó Pilán10 citations
30. Annotating Student Talk in Text-based Classroom Discussions ↗Luca Lugini, Diane Litman, Amanda Godley et al.9 citations
31. Automated Content Analysis: A Case Study of Computer Science Student Summaries ↗Yanjun Gao, Patricia M. Davies, Rebecca J. Passonneau9 citations
32. Chengyu Cloze Test ↗Zhiying Jiang, Boliang Zhang, Lifu Huang et al.9 citations
33. Complex Word Identification Using Character n-grams ↗Maja Popović9 citations
34. Modeling Second-Language Learning from a Psychological Perspective ↗Alexander Rich, Pamela Osborn Popp, David Halpern et al.9 citations
35. Second Language Acquisition Modeling: An Ensemble Approach ↗Anton Osika, Susanna Nilsson, Andrii Sydorchuk et al.9 citations
36. CLUF: a Neural Model for Second Language Acquisition Modeling ↗Shuyao Xu, Jin Chen, Long Qin8 citations
37. A Portuguese Native Language Identification Dataset ↗Iria del Río Gayo, Marcos Zampieri, Shervin Malmasi6 citations
38. TMU System for SLAM-2018 ↗Masahiro Kaneko, Tomoyuki Kajiwara, Mamoru Komachi4 citations
39. A Memory-Sensitive Classification Model of Errors in Early Second Language Learning ↗Brendan Tomoschuk, Jarrett Lovelett3 citations
40. Annotating picture description task responses for content analysis ↗Levi King, Markus Dickinson3 citations
41. Toward Data-Driven Tutorial Question Answering with Deep Learning Conversational Models ↗Mayank Kulkarni, Kristy Boyer3 citations
42. Context Based Approach for Second Language Acquisition ↗Nihal V. Nayak, Arjun R. Rao2 citations
43. Feature Engineering for Second Language Acquisition Modeling ↗Guanliang Chen, Claudia Hauff, Geert-Jan Houben2 citations
44. Grotoco@SLAM: Second Language Acquisition Modeling with Simple Features, Learners and Task-wise Models ↗Sigrid Klerke, Héctor Martínez Alonso, Barbara Plank2 citations
45. Predicting Second Language Learner Successes and Mistakes by Means of Conjunctive Features ↗Yves Bestgen2 citations
46. Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models ↗Vikram Ramanarayanan, Michelle LaMar2 citations
47. Automatic Input Enrichment for Selecting Reading Material: An Online Study with English Teachers ↗Maria Chinkina, Ankita Oswal, Detmar Meurers1 citation
48. COAST - Customizable Online Syllable Enhancement in Texts. A flexible framework for automatically enhancing reading materials ↗Heiko Holz, Zarah Weiss, Oliver Brehm et al.1 citation
49. Neural sequence modelling for learner error prediction ↗Zheng Yuan1 citation
50. The Effect of Adding Authorship Knowledge in Automated Text Scoring ↗Meng Zhang, Xie Chen, Ronan Cummins et al.1 citation

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