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4 papers
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)…
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…
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…
Generating training datasets for legal chatbots in Korean
Changhoe Hwang, Jee-Sun Nam, Eric Laporte
Chatbots are robots that can communicate with humans using text or voice signals. Legal chatbots improve access to justice, since legal representation and legal advice by lawyers c…