Who cites «Findings of the BEA 2026 Shared Task on Vocabulary Difficulty Prediction for English Learners»
- Glite at BEA 2026 Shared Task 1: Holistic Difficulty Models Dominate, Feature Engineering Closes the Gap in L1-Aware Vocabulary Difficulty PredictionWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Vassili Philippov, Dmitrii Andreev, Pavel Katunin, et al.2026 · 2 citations
- Data Asgardians at BEA 2026 Shared Task 1: A Hybrid Transformer–Feature Ensemble for L1-Aware English Vocabulary Difficulty PredictionWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Adrian Pineda, Sabur Butt, Héctor Ceballos Cancino2026 · 1 citation
- RETUYT-INCO at BEA 2026 Shared Task 1: Feature-Enriched mDeBERTa for Word Difficulty PredictionWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Santiago Robaina, Aiala Rosá, Luis Chiruzzo2026 · 1 citation
- SAAKTH at BEA 2026 Shared Task 1: L1-Aware English Vocabulary Difficulty Prediction with Hybrid Transformer and Psycholinguistic FeaturesWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Karthik Mattu, Adit Dhall, Arshad Naguru, et al.2026 · 1 citation
- Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?Workshop on Innovative Use of NLP for Building Educational Applications (BEA)Adam Nohejl, Xuanxin Wu, Yusuke Ide, et al.2026 · 1 citation
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