BiGBERT: Classifying Educational Web Resources for Kindergarten-12th Grades
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.
Allen, Garrett; Downs, Brody; Shukla, Aprajita; Kennington, Casey; Fails, Jerry Alan; Wright, Katherine Landau; and Pera, Maria Soledad. (2021). "BiGBERT: Classifying Educational Web Resources for Kindergarten-12th Grades". ECIR 2021: Advances in Information Retrieval, 176-184. https://doi.org/10.1007/978-3-030-72240-1_13
Advances in Information Retrieval is volume 12657 of the Lecture Notes in Computer Science book series.