BiGBERT: Classifying Educational Web Resources for Kindergarten-12th Grades
Published in 43rd European Conference on Information Retrieval, 2021
Recommended citation: Garrett Allen, Brody Downs, Aprajita Shukla, Casey Kennington, Jerry Alan Fails, Katherine Landau Wright, and Maria Soledad Pera. 2021. "BiG-BERT: Classifying Educational Web Resources for Kindergarten-12th Grades". In Proceedings of the 43rd European Conference on Information Retrieval (ECIR '21). ACM, pp 176-184. https://link.springer.com/chapter/10.1007/978-3-030-72240-1_13
In this paper, we present BiGBERT, a deep learning model that simultaneously examines URLs and snippets from web resources to determine their alignment with children’s educational standards. Preliminary results inferred from ablation studies and comparison with baselines and state-of-the-art counterparts, reveal that leveraging domain knowledge to learn domain-aligned contextual nuances from limited input data leads to improved identification of educational web resources. pdf