Leveraging Conceptual Similarities to Enhance Modeling of
Factors Affecting Adolescents’ Well-Being

D 2024

Leveraging Conceptual Similarities to Enhance Modeling of Factors Affecting Adolescents’ Well-Being

SOTOLÁŘ, Ondřej; Jaromír PLHÁK a David ŠMAHEL

Základní údaje

Originální název

Leveraging Conceptual Similarities to Enhance Modeling of Factors Affecting Adolescents’ Well-Being

Autoři

SOTOLÁŘ, Ondřej; Jaromír PLHÁK a David ŠMAHEL

Vydání

CHAM, CH-6330, SWITZERLAND, Text, Speech, and Dialogue, od s. 263-274, 12 s. 2024

Nakladatel

Springer Cham

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Impakt faktor

Impact factor: 0.402 v roce 2005

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/24:00137522

Organizační jednotka

Fakulta informatiky

ISBN

978-3-031-70565-6

ISSN

Klíčová slova anglicky

supportive interactions; online risks; instant messenger; private dialogues

Štítky

firank_B

Změněno: 4. 4. 2025 12:14, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

While large language models consistently outperform their smaller transformer-based counterparts, there are constraints on their deployment. Model size becomes a critical limiting factor in cases involving sensitive data, particularly when the imperative is to execute inference on edge devices such as smartphones. We explore the possibility of detecting common positive and negative influence factors that impact adolescents’ well-being in instant messenger communication using a newly annotated dataset. We show that by leveraging the similarities between the concepts, we can produce classifiers with a small ELECTRA-based model with 14M parameters that can run on resource-limited edge devices. Our findings can be used to advance intervention and parental control software, creating a safer digital environment for children and adolescents.

Návaznosti

CZ.02.01.01/00/22_008/0004583, interní kód MU
(Kód CEP: EH22_008/0004583)

Název: Excelentní výzkum v oblasti digitálních technologií a wellbeingu

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Excelentní výzkum v oblasti digitálních technologií a wellbeingu, Priorita 1 - Výzkum a vývoj

EH22_008/0004583, projekt VaV

Název: Excelentní výzkum v oblasti digitálních technologií a wellbeingu

Citovat

SOTOLÁŘ, Ondřej; Jaromír PLHÁK a David ŠMAHEL. Leveraging Conceptual Similarities to Enhance Modeling of Factors Affecting Adolescents’ Well-Being. In Elmar Nöth, Aleš Horák, Petr Sojka. Text, Speech, and Dialogue. CHAM, CH-6330, SWITZERLAND: Springer Cham, 2024, s. 263-274. ISBN 978-3-031-70565-6. Dostupné z: https://doi.org/10.1007/978-3-031-70566-3_23.

@inproceedings{2448813,
   author = {Sotolář, Ondřej and Plhák, Jaromír and Šmahel, David},
   address = {CHAM, CH-6330, SWITZERLAND},
   booktitle = {Text, Speech, and Dialogue},
   doi = {https://doi.org/10.1007/978-3-031-70566-3_23},
   editor = {Elmar Nöth, Aleš Horák, Petr Sojka},
   keywords = {supportive interactions; online risks; instant messenger; private dialogues},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {CHAM, CH-6330, SWITZERLAND},
   isbn = {978-3-031-70565-6},
   pages = {263-274},
   publisher = {Springer Cham},
   title = {Leveraging Conceptual Similarities to Enhance Modeling of Factors Affecting Adolescents’ Well-Being},
   year = {2024}
}

TY  - CONF
ID  - 2448813
AU  - Sotolář, Ondřej - Plhák, Jaromír - Šmahel, David
PY  - 2024
TI  - Leveraging Conceptual Similarities to Enhance Modeling of Factors Affecting Adolescents’ Well-Being
PB  - Springer Cham
CY  - CHAM, CH-6330, SWITZERLAND
SN  - 9783031705656
KW  - supportive interactions
KW  - online risks
KW  - instant messenger
KW  - private dialogues
N2  - While large language models consistently outperform their smaller transformer-based counterparts, there are constraints on their deployment. Model size becomes a critical limiting factor in cases involving sensitive data, particularly when the imperative is to execute inference on edge devices such as smartphones. We explore the possibility of detecting common positive and negative influence factors that impact adolescents’ well-being in instant messenger communication using a newly annotated dataset. We show that by leveraging the similarities between the concepts, we can produce classifiers with a small ELECTRA-based model with 14M parameters that can run on resource-limited edge devices. Our findings can be used to advance intervention and parental control software, creating a safer digital environment for children and adolescents.
ER  -

SOTOLÁŘ, Ondřej; Jaromír PLHÁK a David ŠMAHEL. Leveraging Conceptual Similarities to Enhance Modeling of Factors Affecting Adolescents’ Well-Being. In Elmar Nöth, Aleš Horák, Petr Sojka. \textit{Text, Speech, and Dialogue}. CHAM, CH-6330, SWITZERLAND: Springer Cham, 2024, s.~263-274. ISBN~978-3-031-70565-6. Dostupné z: https://doi.org/10.1007/978-3-031-70566-3\_{}23.

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