täiskirje prindi

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

autor
Agha, Milad
Frasincar, Flavius
Zhu, Beilly
Robal, Tarmo
vastutusandmed
Milad Agha, Flavius Frasincar, Beilly Zhu & Tarmo Robal
allikas
Web Engineering : 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30 – July 3, 2025 : Proceedings
kirjastus/väljaandja
ilmumisaasta
leheküljed
p. 89-103
seeria-sari
Lecture notes in computer science ; 15749
konverentsi nimetus, aeg
25th International Conference, The Inclusive Web : Realizing Safe, Accessible, Inclusive, and Sustainable Web Engineering (ICWE 2025), June 30 – July 3, 2025
konverentsi toimumispaik
Delft, The Netherlands
leitav
ISSN
0302-9743
ISBN
978-3-031-97206-5
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
English
märksõna
võtmesõna
critical psychology
critical thinking
psychometrics
security science and technology
system robustness
assessment and testing
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