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Marcos Zampieri

10 papers hereh-index 7262 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author4
  • last author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.AI1
  • cs.LG1
same name
  • Marcos Zampieri — 59 papers, h 46
  • Marcos Zampieri — 11 papers, h 6
  • Marcos Zampieri — 9 papers, h 7
  • Marcos Zampieri — 7 papers, h 5
  • Marcos Zampieri — 3 papers, h 5
  • Marcos Zampieri — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedA Survey of Multimodal Sarcasm Detection

14 citations · 29 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024★ 14 cited

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.CL2024★ 1 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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.