1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
KoMultiText: Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services
Dasol Choi, Jooyoung Song, Eunsun Lee +3
With the growth of online services, the need for advanced text classification algorithms, such as sentiment analysis and biased text detection, has become increasingly evident. The…
cs.CL2023★ 1 cited
A New Korean Text Classification Benchmark for Recognizing the Political Intents in Online Newspapers
Beomjune Kim, Eunsun Lee, Dongbin Na
Many users reading online articles in various magazines may suffer considerable difficulty in distinguishing the implicit intents in texts. In this work, we focus on automatically…
cs.CV2023
HOD: A Benchmark Dataset for Harmful Object Detection
Eungyeom Ha, Heemook Kim, Sung Chul Hong +1
Recent multi-media data such as images and videos have been rapidly spread out on various online services such as social network services (SNS). With the explosive growth of online…