no code implementations • WMT (EMNLP) 2021 • Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh
As experimental results show, our APE system significantly improves the translations of provided MT results by -2. 848 and +3. 74 on the development dataset in terms of TER and BLEU, respectively.
no code implementations • 8 Jun 2023 • Yunsung Lee, Jin-Young Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi
In this paper, we address the performance degradation of efficient diffusion models by introducing Multi-architecturE Multi-Expert diffusion models (MEME).
1 code implementation • NeurIPS 2023 • Hyojun Go, Jinyoung Kim, Yunsung Lee, SeungHyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi
Through this, our approach addresses the issue of negative transfer in diffusion models by allowing for efficient computation of MTL methods.
no code implementations • 30 May 2023 • Hyun Seung Lee, Seungtaek Choi, Yunsung Lee, Hyeongdon Moon, Shinhyeok Oh, Myeongho Jeong, Hyojun Go, Christian Wallraven
To mitigate these issues, here we propose a novel retrieval approach CEAA that provides effective learning in educational text classification.
no code implementations • 26 May 2023 • Shinhyeok Oh, Hyojun Go, Hyeongdon Moon, Yunsung Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi
To this end, we propose to paraphrase the reference question for a more robust QG evaluation.
1 code implementation • 15 Dec 2022 • Shinhyeok Oh, HyeongRae Noh, Yoonseok Hong, Insoo Oh
With the advent of deep learning, a huge number of text-to-speech (TTS) models which produce human-like speech have emerged.
no code implementations • 14 Sep 2021 • Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh
As experimental results show, our APE system significantly improves the translations of provided MT results by -2. 848 and +3. 74 on the development dataset in terms of TER and BLEU, respectively.
no code implementations • ACL 2021 • Shinhyeok Oh, Dongyub Lee, Taesun Whang, IlNam Park, Gaeun Seo, EungGyun Kim, Harksoo Kim
In this paper, we propose Deep Contextualized Relation-Aware Network (DCRAN), which allows interactive relations among subtasks with deep contextual information based on two modules (i. e., Aspect and Opinion Propagation and Explicit Self-Supervised Strategies).
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • 9 Mar 2021 • Gihyeon Choi, Shinhyeok Oh, Harksoo Kim
Although there are sentences in a document that support important evidences for sentiment analysis and sentences that do not, they have treated the document as a bag of sentences.
Ranked #1 on Document Classification on IMDb-M