no code implementations • EMNLP 2020 • JaeHun Jung, Bokyung Son, Sungwon Lyu
Retrieving the proper knowledge relevant to conversational context is an important challenge in dialogue systems, to engage users with more informative response.
no code implementations • WMT (EMNLP) 2021 • Yunju Bak, Jimin Sun, Jay Kim, Sungwon Lyu, Changmin Lee
This paper describes Kakao Enterprise’s submission to the WMT21 shared Machine Translation using Terminologies task.
4 code implementations • 20 May 2021 • Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, JunSeong Kim, Yongsook Song, Taehwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, InKwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho
We introduce Korean Language Understanding Evaluation (KLUE) benchmark.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Bokyung Son, Sungwon Lyu
Using a single encoder and decoder for all directions and training with English-centric data is a popular scheme for multilingual NMT.
no code implementations • EMNLP 2020 • Sungwon Lyu, Bokyung Son, Kichang Yang, Jaekyoung Bae
The complete sharing of parameters for multilingual translation (1-1) has been the mainstream approach in current research.
no code implementations • 1 Nov 2018 • Jinwon An, Sungwon Lyu, Sungzoon Cho
This paper proposes an attention module augmented relational network called SARN(Sequential Attention Relational Network) that can carry out relational reasoning by extracting reference objects and making efficient pairing between objects.