Search Results for author: Jihyung Moon

Found 9 papers, 3 papers with code

How Does the Hate Speech Corpus Concern Sociolinguistic Discussions? A Case Study on Korean Online News Comments

no code implementations NLP4DH (ICON) 2021 Won Ik Cho, Jihyung Moon

Furthermore, we check how the final corpus corresponds with the definition and scope of hate speech, and confirm that the overall procedure and outcome is in concurrence with the sociolinguistic discussions.

Analyzing Norm Violations in Live-Stream Chat

no code implementations18 May 2023 Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park

Previous approaches to detecting toxic language and norm violations have been primarily concerned with conversations from online forums and social media, such as Reddit and Twitter.

KOLD: Korean Offensive Language Dataset

1 code implementation23 May 2022 Younghoon Jeong, Juhyun Oh, Jaimeen Ahn, Jongwon Lee, Jihyung Moon, Sungjoon Park, Alice Oh

Recent directions for offensive language detection are hierarchical modeling, identifying the type and the target of offensive language, and interpretability with offensive span annotation and prediction.

Classification

BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection

1 code implementation WS 2020 Jihyung Moon, Won Ik Cho, Junbum Lee

Additionally, when BERT is trained with bias label for hate speech detection, the prediction score increases, implying that bias and hate are intertwined.

Hate Speech Detection

Revisiting Round-Trip Translation for Quality Estimation

no code implementations EAMT 2020 Jihyung Moon, Hyunchang Cho, Eunjeong L. Park

Quality estimation (QE) is the task of automatically evaluating the quality of translations without human-translated references.

NMT Sentence +2

Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning

no code implementations ICLR 2018 Jihyung Moon, Hyochang Yang, Sungzoon Cho

To solve the text-based question and answering task that requires relational reasoning, it is necessary to memorize a large amount of information and find out the question relevant information from the memory.

Ranked #4 on Question Answering on bAbi (Mean Error Rate metric)

Question Answering Relation +2

Cannot find the paper you are looking for? You can Submit a new open access paper.