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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★ 2 cited
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…