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Enhancing the aspect robustness score of the HAABSA++ model using adversarial training

author
Agha, Milad
Frasincar, Flavius
Zhu, Beilly
Robal, Tarmo
statement of authorship
Milad Agha, Flavius Frasincar, Beilly Zhu & Tarmo Robal
source
Web Engineering : 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30 – July 3, 2025 : Proceedings
publisher
Springer
year of publication
2026
pages
p. 89-103
series
Lecture notes in computer science ; 15749
conference name, date
25th International Conference, The Inclusive Web : Realizing Safe, Accessible, Inclusive, and Sustainable Web Engineering (ICWE 2025), June 30 – July 3, 2025
conference location
Delft, The Netherlands
url
https://doi.org/10.1007/978-3-031-97207-2
https://link.springer.com/chapter/10.1007/978-3-031-97207-2_7
subject term
kriitiline psühholoogia
kriitiline mõtlemine
psühhomeetria
küberturve
infoturve
töökindlus
hindamine
testimine
keyword
critical psychology
critical thinking
psychometrics
security science and technology
system robustness
assessment and testing
ISSN
0302-9743
ISBN
978-3-031-97206-5
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
School of Information Technologies
language
English
Agha, M., Frasincar, F., Zhu, B., Robal, T. Enhancing the aspect robustness score of the HAABSA++ model using adversarial training // Web Engineering : 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30 – July 3, 2025 : Proceedings. : Springer, 2026. p. 89-103. (Lecture notes in computer science ; 15749). https://doi.org/10.1007/978-3-031-97207-2 https://link.springer.com/chapter/10.1007/978-3-031-97207-2_7