no code implementations • 18 Apr 2022 • Hwanhee Lee, Cheoneum Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Juae Kim, Kyomin Jung
In this paper, we propose an efficient factual error correction system RFEC based on entities retrieval post-editing process.
1 code implementation • 30 Sep 2021 • Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheoneum Park, Kyomin Jung
Specifically, we employ a two-stage augmentation pipeline to generate new claims and evidences from existing samples.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Cheoneum Park, Jamin Shin, Sungjoon Park, JoonHo Lim, Changki Lee
Recently, end-to-end neural network-based approaches have shown significant improvements over traditional pipeline-based models in English coreference resolution.
no code implementations • WS 2019 • Cheoneum Park, Young-Jun Jung, Kihoon Kim, Geonyeong Kim, Jae-Won Jeon, Seongmin Lee, Jun-Seok Kim, Chang-Ki Lee
In this paper, we describe the neural machine translation (NMT) system submitted by the Kangwon National University and HYUNDAI (KNU-HYUNDAI) team to the translation tasks of the 6th workshop on Asian Translation (WAT 2019).
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.
1 code implementation • CONLL 2018 • KyungTae Lim, Cheoneum Park, Changki Lee, Thierry Poibeau
We describe the SEx BiST parser (Semantically EXtended Bi-LSTM parser) developed at Lattice for the CoNLL 2018 Shared Task (Multilingual Parsing from Raw Text to Universal Dependencies).
no code implementations • SEMEVAL 2018 • Cheoneum Park, Heejun Song, Chang-Ki Lee
Character identification is an entity-linking task that finds words referring to the same person among the nouns mentioned in a conversation and turns them into one entity.