2 papers
cs.CL2026
Exploiting contextual information to improve stance detection in informal political discourse with LLMs
Arman Engin Sucu, Yixiang Zhou, Mario A. Nascimento +1
This study investigates the use of Large Language Models (LLMs) for political stance detection in informal online discourse, where language is often sarcastic, ambiguous, and conte…
cs.CL2024
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains
Arthur Elwing Torres, Edleno Silva de Moura, Altigran Soares da Silva +2
Named Entity Recognition (NER) is a machine learning task that traditionally relies on supervised learning and annotated data. Acquiring such data is often a challenge, particularl…