2 citations · 5 across the 10 of their papers we have counts for
6 papers · 1 filter
Look What You Made Us Cluster: Hate Narrative Extraction from Reddit Discourse
Annabelle K. L. Chua, Forster J. Khoo, Joel C. R. Tan +8
Narrative extraction allows us to identify online hate narratives, supporting the construction of rigorous detection systems. Existing computational approaches, however, are limite…
Humanizing Machines: Rethinking LLM Anthropomorphism Through a Multi-Level Framework of Design
Yunze Xiao, Lynnette Hui Xian Ng, Jiarui Liu +1
Large Language Models (LLMs) increasingly exhibit \textbf{anthropomorphism} characteristics -- human-like qualities portrayed across their outlook, language, behavior, and reasonin…
What talking you?: Translating Code-Mixed Messaging Texts to English
Lynnette Hui Xian Ng, Luo Qi Chan
Translation of code-mixed texts to formal English allow a wider audience to understand these code-mixed languages, and facilitate downstream analysis applications such as sentiment…
Limpeh ga li gong: Challenges in Singlish Annotations
Luo Qi Chan, Lynnette Hui Xian Ng
Singlish, or Colloquial Singapore English, is a language formed from oral and social communication within multicultural Singapore. In this work, we work on a fundamental Natural La…
Disentangling Singlish Discourse Particles with Task-Driven Representation
Linus Tze En Foo, Lynnette Hui Xian Ng
Singlish, or formally Colloquial Singapore English, is an English-based creole language originating from the SouthEast Asian country Singapore. The language contains influences fro…
Who Speaks Matters: Analysing the Influence of the Speaker's Ethnicity on Hate Classification
Ananya Malik, Kartik Sharma, Shaily Bhatt +1
Large Language Models (LLMs) offer a lucrative promise for scalable content moderation, including hate speech detection. However, they are also known to be brittle and biased again…