6 papers
BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection
Jihyung Moon, Won Ik Cho, Junbum Lee
Toxic comments in online platforms are an unavoidable social issue under the cloak of anonymity. Hate speech detection has been actively done for languages such as English, German,…
Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation
Won Ik Cho, Donghyun Kwak, Ji Won Yoon +1
Speech is one of the most effective means of communication and is full of information that helps the transmission of utterer's thoughts. However, mainly due to the cumbersome proce…
Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives
Won Ik Cho, Young Ki Moon, Sangwhan Moon +2
Modern dialog managers face the challenge of having to fulfill human-level conversational skills as part of common user expectations, including but not limited to discourse with no…
Text Matters but Speech Influences: A Computational Analysis of Syntactic Ambiguity Resolution
Won Ik Cho, Jeonghwa Cho, Woo Hyun Kang +1
Analyzing how human beings resolve syntactic ambiguity has long been an issue of interest in the field of linguistics. It is, at the same time, one of the most challenging issues f…
On Measuring Gender Bias in Translation of Gender-neutral Pronouns
Won Ik Cho, Ji Won Kim, Seok Min Kim +1
Ethics regarding social bias has recently thrown striking issues in natural language processing. Especially for gender-related topics, the need for a system that reduces the model…
Investigating an Effective Character-level Embedding in Korean Sentence Classification
Won Ik Cho, Seok Min Kim, Nam Soo Kim
Different from the writing systems of many Romance and Germanic languages, some languages or language families show complex conjunct forms in character composition. For such cases…