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Hoo-Jung Chung

dblp:17/2977 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Question answering and dialogue systems · 77% Transfer learning and domain adaptation · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Question answering and dialogue systems
domain-specific question answering		 0.112006
K-QARD: A Practical Korean Question Answering Framework for Restricted Domain · ACL 2006
Machine learning › Transfer learning and domain adaptation › cross-domain transfer
domain portability		 0.012006
K-QARD: A Practical Korean Question Answering Framework for Restricted Domain · ACL 2006
YearPublicationVenuePosition
2006 K-QARD: A Practical Korean Question Answering Framework for Restricted Domain
abstract
We present a Korean question answering framework for restricted domains, called K-QARD. K-QARD is developed to achieve domain portability and robustness, and the framework is successfully applied to build question answering systems for several domains.
Young-In Song, Hoo-Jung Chung, Kyoung-Soo Han, Joo-Young Lee, Hae-Chang Rim, Jae-Won Lee
 ACL2
2004 Unlexicalized Dependency Parser for Variable Word Order Languages Based on Local Contextual Pattern
Hoo-Jung Chung, Hae-Chang Rim
 CICLing1
2004 Unsupervised word sense disambiguation using WordNet relatives
Hee-Cheol Seo, Hoo-Jung Chung, Hae-Chang Rim, Sung-Hyon Myaeng, Soo-Hong Kim
 Comput. Speech Lang.2