5 papers
Data-Dependent Goal Modeling for ML-Enabled Law Enforcement Systems
Dalal Alrajeh, Vesna Nowack, Patrick Benjamin +15
Investigating serious crimes is inherently complex and resource-constrained. Law enforcement agencies (LEAs) grapple with overwhelming volumes of offender and incident data, making…
UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion Detection
Frances Laureano De Leon, Yixiao Wang, Yue Feng +1
Emotion detection in natural language processing is a challenging task due to the complexity of human emotions and linguistic diversity. While significant progress has been made in…
Evaluating Large Language Models on Multiword Expressions in Multilingual and Code-Switched Contexts
Frances Laureano De Leon, Harish Tayyar Madabushi, Mark G. Lee
Multiword expressions, characterised by non-compositional meanings and syntactic irregularities, are an example of nuanced language. These expressions can be used literally or idio…
Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text
Frances A. Laureano De Leon, Harish Tayyar Madabushi, Mark Lee
Code-switching is a prevalent linguistic phenomenon in which multilingual individuals seamlessly alternate between languages. Despite its widespread use online and recent research…
CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysis
Frances Adriana Laureano De Leon, Florimond Guéniat, Harish Tayyar Madabushi
The growing popularity and applications of sentiment analysis of social media posts has naturally led to sentiment analysis of posts written in multiple languages, a practice known…