Oh, Jong-Hoon

13 publications

AAAI 2019 Exploiting Background Knowledge in Compact Answer Generation for Why-Questions Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer

AAAI 2018 Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Ryu Iida, Canasai Kruengkrai, Julien Kloetzer

AAAI 2017 Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks Canasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka

AAAI 2016 A Semi-Supervised Learning Approach to Why-Question Answering Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Ryu Iida, Masahiro Tanaka, Julien Kloetzer

AAAI 2015 Generating Event Causality Hypotheses Through Semantic Relations Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Jong-Hoon Oh

JAIR 2006 A Comparison of Different Machine Transliteration Models Jong-Hoon Oh, Key-Sun Choi, Hitoshi Isahara

ICML 2004 A Multiplicative Up-Propagation Algorithm Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh

NeCo 2003 A Constrained EM Algorithm for Principal Component Analysis Jong-Hoon Ahn, Jong-Hoon Oh

NeurIPS 1997 Learning Generative Models with the up Propagation Algorithm Jong-Hoon Oh, H. Sebastian Seung

NeurIPS 1997 The Storage Capacity of a Fully-Connected Committee Machine Yuansheng Xiong, Chulan Kwon, Jong-Hoon Oh

NeurIPS 1996 Statistical Mechanics of the Mixture of Experts Kukjin Kang, Jong-Hoon Oh

COLT 1995 Learning by a Population of Perceptrons Kukjin Kang, Jong-Hoon Oh

COLT 1994 Generalization in Partially Connected Layered Neural Networks Kyung-Hoon Kwon, Kukjin Kang, Jong-Hoon Oh