2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
GOTO Rankings Considered Helpful
Emery Berger, Stephen M. Blackburn, Carla Brodley +5
Rankings are a fact of life. Whether or not one likes them, they exist and are influential. Within academia, and in computer science in particular, rankings not only capture our at…