www.icact.org

Member Login

TACT Journal Homepage

Call for Paper

Committee

Find My Paper

Author Homepage

Statistics & History

Welcome Message

Paper Procedure

FAQ

Paper Archives

Outstanding Papers

Program & Proceedings

Presentation Platform

Hotel & Travel Info

Photo Gallery

Scheduler Login

Seminar

Archives Login

Sponsors

Virual Oral Question and Answer


IEEE/ICACT20240342 Question.1 Questioner: ldaustero@bicol-u.edu.ph 2024-02-03 오후 5:40:50	IEEE/ICACT20240342 Answer.1 Answer by Auhor songliujing@cnic.cn 2024-02-03 오후 5:40:50
How scalable is the proposed model, and does it generalize well to diverse datasets and real-world scenarios beyond the ones used in the experiments?	The proposed ULIL model exhibits scalability by operating at the utterance level and generalizability by effectively capturing incongruity representations across diverse datasets and real-world scenarios. Its state-of-the-art performance in multimodal sarcasm detection underscores its effectiveness in addressing the challenges associated with analyzing user-generated online videos.

Select Voice