BiGBERT: Classifying Educational Web Resources for Kindergarten-12th Grades

Garrett Allen; Brody Downs; Aprajita Shukla; Casey Kennington; Jerry Alan Fails; Katherine Landau Wright; Maria Soledad Pera

doi:10.1007/978-3-030-72240-1_13

BiGBERT: Classifying Educational Web Resources for Kindergarten-12^th Grades

Garrett Allen^*, Brody Downs, Aprajita Shukla, Casey Kennington, Jerry Alan Fails, Katherine Landau Wright, Maria Soledad Pera

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings
Editors	Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani
Publisher	Springer
Pages	176-184
Number of pages	9
ISBN (Print)	9783030722395
DOIs	https://doi.org/10.1007/978-3-030-72240-1_13
Publication status	Published - 2021
Externally published	Yes
Event	43rd European Conference on Information Retrieval, ECIR 2021 - Virtual, Online Duration: 28 Mar 2021 → 1 Apr 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12657 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	43rd European Conference on Information Retrieval, ECIR 2021
City	Virtual, Online
Period	28/03/21 → 1/04/21

Keywords

BERT
Educational standards
Web classification

Access to Document

10.1007/978-3-030-72240-1_13

Cite this

Allen, G., Downs, B., Shukla, A., Kennington, C., Fails, J. A., Wright, K. L., & Pera, M. S. (2021). BiGBERT: Classifying Educational Web Resources for Kindergarten-12^th Grades. In D. Hiemstra, M.-F. Moens, J. Mothe, R. Perego, M. Potthast, & F. Sebastiani (Eds.), Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings (pp. 176-184). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12657 LNCS). Springer. https://doi.org/10.1007/978-3-030-72240-1_13

Allen, Garrett ; Downs, Brody ; Shukla, Aprajita et al. / BiGBERT : Classifying Educational Web Resources for Kindergarten-12^th Grades. Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings. editor / Djoerd Hiemstra ; Marie-Francine Moens ; Josiane Mothe ; Raffaele Perego ; Martin Potthast ; Fabrizio Sebastiani. Springer, 2021. pp. 176-184 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "BiGBERT: Classifying Educational Web Resources for Kindergarten-12th Grades",

abstract = "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{\textquoteright}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.",

keywords = "BERT, Educational standards, Web classification",

author = "Garrett Allen and Brody Downs and Aprajita Shukla and Casey Kennington and Fails, {Jerry Alan} and Wright, {Katherine Landau} and Pera, {Maria Soledad}",

year = "2021",

doi = "10.1007/978-3-030-72240-1_13",

language = "English",

isbn = "9783030722395",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings",

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Allen, G, Downs, B, Shukla, A, Kennington, C, Fails, JA, Wright, KL & Pera, MS 2021, BiGBERT: Classifying Educational Web Resources for Kindergarten-12^th Grades. in D Hiemstra, M-F Moens, J Mothe, R Perego, M Potthast & F Sebastiani (eds), Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12657 LNCS, Springer, pp. 176-184, 43rd European Conference on Information Retrieval, ECIR 2021, Virtual, Online, 28/03/21. https://doi.org/10.1007/978-3-030-72240-1_13

BiGBERT: Classifying Educational Web Resources for Kindergarten-12^th Grades. / Allen, Garrett; Downs, Brody; Shukla, Aprajita et al.
Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings. ed. / Djoerd Hiemstra; Marie-Francine Moens; Josiane Mothe; Raffaele Perego; Martin Potthast; Fabrizio Sebastiani. Springer, 2021. p. 176-184 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12657 LNCS).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Allen G, Downs B, Shukla A, Kennington C, Fails JA, Wright KL et al. BiGBERT: Classifying Educational Web Resources for Kindergarten-12^th Grades. In Hiemstra D, Moens MF, Mothe J, Perego R, Potthast M, Sebastiani F, editors, Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings. Springer. 2021. p. 176-184. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-72240-1_13