3 papers
cs.CL2026
DECO-MWE: building a linguistic resource of Korean multiword expressions for feature-based sentiment analysis
Jaeho Han, Changhoe Hwang, Seongyong Choi +3
This paper aims to construct a linguistic resource of Korean Multiword Expressions for Feature-Based Sentiment Analysis (FBSA): DECO-MWE. Dealing with multiword expressions (MWEs)…
cs.CL2026
Building Korean linguistic resource for NLU data generation of banking app CS dialog system
Jeongwoo Yoon, On-yu Park, Changhoe Hwang +3
Natural language understanding (NLU) is integral to task-oriented dialog systems, but demands a considerable amount of annotated training data to increase the coverage of diverse u…
cs.CL2026
SSP-based construction of evaluation-annotated data for fine-grained aspect-based sentiment analysis
Suwon Choi, Shinwoo Kim, Changhoe Hwang +3
We report the construction of a Korean evaluation-annotated corpus, hereafter called 'Evaluation Annotated Dataset (EVAD)', and its use in Aspect-Based Sentiment Analysis (ABSA) ex…