1 code implementation • NAACL 2021 • Janghoon Han, Taesuk Hong, Byoungjae Kim, Youngjoong Ko, Jungyun Seo
During the multi-turn response selection, BERT focuses on training the relationship between the context with multiple utterances and the response.
Ranked #1 on Conversational Response Selection on RRS
1 code implementation • COLING 2020 • Bosung Kim, Taesuk Hong, Youngjoong Ko, Jungyun Seo
As research on utilizing human knowledge in natural language processing has attracted considerable attention in recent years, knowledge graph (KG) completion has come into the spotlight.
1 code implementation • SEMEVAL 2020 • Hwijeen Ahn, Jimin Sun, Chan Young Park, Jungyun Seo
This paper describes our approach to the task of identifying offensive languages in a multilingual setting.
no code implementations • SEMEVAL 2019 • Cheoneum Park, Juae Kim, Hyeon-gu Lee, Reinald Kim Amplayo, Harksoo Kim, Jungyun Seo, Chang-Ki Lee
This paper describes our system, Joint Encoders for Stable Suggestion Inference (JESSI), for the SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums.
no code implementations • WS 2017 • Juae Kim, Sunjae Kwon, Youngjoong Ko, Jungyun Seo
To generate a large amount of machine-labeled data, firstly we generate an initial machine-labeled data by using a chunker and MetaMap.