no code implementations • PACLIC 2020 • Youngbin Noh, Kuntae Kim, Minho Lee, Cheolhun Heo, Yongbin Jeong, Yoosung Jeong, Younggyun Hahm, Taehwan Oh, Hyonsu Choe, Seokwon Park, Jin-Dong Kim, Key-Sun Choi
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 • 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 • COLING 2016 • Jeong-uk Kim, Younggyun Hahm, Key-Sun Choi
FrameNet project has begun from Berkeley in 1997, and is now supported in several countries reflecting characteristics of each language.
no code implementations • WS 2016 • Younggyun Hahm, Sangha Nam, Key-Sun Choi
Natural language questions are interpreted to a sequence of patterns to be matched with instances of patterns in a knowledge base (KB) for answering.
no code implementations • WS 2016 • Sangha Nam, Gyu-Hyeon Choi, Younggyun Hahm, Key-Sun Choi
For this reason, we combine open information extraction with the reification for the full text extraction to preserve meaning of sentence in our knowledge graph.
no code implementations • LREC 2014 • Younggyun Hahm, Jungyeul Park, Kyungtae Lim, Youngsik Kim, Dosam Hwang, Key-Sun Choi
In this paper, we propose a novel method to automatically build a named entity corpus based on the DBpedia ontology.
no code implementations • WS 2012 • YoungGyun Hahm, Kyungtae Lim, Jungyeul Park, Yongun Yoon, Key-Sun Choi