activity
20232026
most citedA Survey of Multimodal Sarcasm Detection

14 citations · 15 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

7 papers · 1 filter

cs.CL2026

MUNIChus: Multilingual News Image Captioning Benchmark

Yuji Chen, Alistair Plum, Hansi Hettiarachchi +4

The goal of news image captioning is to generate captions by integrating news article content with corresponding images, highlighting the relationship between textual context and v…

cs.CL2025

A Survey on Multilingual Mental Disorders Detection from Social Media Data

Ana-Maria Bucur, Marcos Zampieri, Tharindu Ranasinghe +1

The increasing prevalence of mental disorders globally highlights the urgent need for effective digital screening methods that can be used in multilingual contexts. Most existing s…

cs.CL2024

A Survey of Multimodal Sarcasm Detection

Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia +2

Sarcasm is a rhetorical device that is used to convey the opposite of the literal meaning of an utterance. Sarcasm is widely used on social media and other forms of computer-mediat…

cs.CL2024

Rater Cohesion and Quality from a Vicarious Perspective

Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta +5

Human feedback is essential for building human-centered AI systems across domains where disagreement is prevalent, such as AI safety, content moderation, or sentiment analysis. Man…

cs.CL20241 cited

Towards Generalized Offensive Language Identification

Alphaeus Dmonte, Tejas Arya, Tharindu Ranasinghe +1

The prevalence of offensive content on the internet, encompassing hate speech and cyberbullying, is a pervasive issue worldwide. Consequently, it has garnered significant attention…

cs.CL2024

A Federated Learning Approach to Privacy Preserving Offensive Language Identification

Marcos Zampieri, Damith Premasiri, Tharindu Ranasinghe

The spread of various forms of offensive speech online is an important concern in social media. While platforms have been investing heavily in ways of coping with this problem, the…