3 papers
cs.CL2025
Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties
Jiyoung Lee, Seungho Kim, Jieun Han +4
Large Language Models (LLMs) are predominantly evaluated on Standard American English (SAE), often overlooking the diversity of global English varieties. This narrow focus may rais…
cs.CL2025
Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
Soyoung Yang, Hojun Cho, Jiyoung Lee +4
Aspect-based sentiment analysis (ABSA) is a challenging task of extracting sentiments along with their corresponding aspects and opinion terms from the text. The inherent subjectiv…
cs.CL2024
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
Daehoon Gwak, Junwoo Park, Minho Park +4
Predicting future international events from textual information, such as news articles, has tremendous potential for applications in global policy, strategic decision-making, and g…