1 code implementation • DMR (COLING) 2020 • Hyonsu Choe, Jiyoon Han, Hyejin Park, Tae Hwan Oh, Hansaem Kim
To explore the potential sembanking in Korean and ways to represent the meaning of Korean sentences, this paper reports on the process of applying Abstract Meaning Representation to Korean, a semantic representation framework that has been studied in wide range of languages, and its output: the Korean AMR corpus.
no code implementations • UDW (COLING) 2020 • Ji Yoon Han, Tae Hwan Oh, Lee Jin, Hansaem Kim
To investigate issues that arise in the process of developing a Universal Dependency (UD) treebank for Korean and Japanese, we begin by addressing the typological characteristics of Korean and Japanese.
no code implementations • 16 Mar 2024 • ChangSu Choi, Yongbin Jeong, Seoyoon Park, InHo Won, HyeonSeok Lim, Sangmin Kim, Yejee Kang, Chanhyuk Yoon, Jaewan Park, Yiseul Lee, Hyejin Lee, Younggyun Hahm, Hansaem Kim, Kyungtae Lim
This study proposed three strategies to enhance the performance of LRLs based on the publicly available MLLMs.
no code implementations • WS 2020 • Tae Hwan Oh, Ji Yoon Han, Hyonsu Choe, Seokwon Park, Han He, Jinho D. Choi, Na-Rae Han, Jena D. Hwang, Hansaem Kim
In this paper, we first open on important issues regarding the Penn Korean Universal Treebank (PKT-UD) and address these issues by revising the entire corpus manually with the aim of producing cleaner UD annotations that are more faithful to Korean grammar.
no code implementations • LREC 2020 • Younggyun Hahm, Youngbin Noh, Ji Yoon Han, Tae Hwan Oh, Hyonsu Choe, Hansaem Kim, Key-Sun Choi
Using current methods, the construction of multilingual resources in FrameNet is an expensive and complex task.
no code implementations • WS 2019 • Hyonsu Choe, Jiyoon Han, Hyejin Park, Hansaem Kim
This paper concerns the application of Abstract Meaning Representation (AMR) to Korean.
no code implementations • WS 2018 • Youngbin Noh, Jiyoon Han, Tae Hwan Oh, Hansaem Kim
In this paper, for the purpose of enhancing Universal Dependencies for the Korean language, we propose a modified method for mapping Korean Part-of-Speech(POS) tagset in relation to Universal Part-of-Speech (UPOS) tagset in order to enhance the Universal Dependencies for the Korean Language.