Harksoo Kim
Harksoo Kim
Professor of Computer Science and Engineering, Konkuk University
Verified email at - Homepage
Cited by
Cited by
Spelling correction system and method for misspelled input
HJ Song, YH Park, HS Shim, JG Ham, HS Kim, JH Lee, SH Lee
US Patent 8,365,070, 2013
SiteQ: Engineering High Performance QA System Using Lexico-Semantic Pattern Matching and Shallow NLP.
GG Lee, J Seo, S Lee, H Jung, BH Cho, C Lee, BK Kwak, J Cha, D Kim, ...
TREC, 2001
Implementation of an efficient requirements-analysis supporting system using similarity measure techniques
S Park, H Kim, Y Ko, J Seo
Information and Software Technology 42 (6), 429-438, 2000
Cluster-based faq retrieval using latent term weights
H Kim, J Seo
IEEE Intelligent Systems 23 (02), 58-65, 2008
High-performance FAQ retrieval using an automatic clustering method of query logs
H Kim, J Seo
Information processing & management 42 (3), 650-661, 2006
MAYA: A fast question-answering system based on a predictive answer indexer
H Kim, K Kim, GG Lee, J Seo
Proceedings of the ACL 2001 Workshop on Open-Domain Question Answering, 2001
A reliable FAQ retrieval system using a query log classification technique based on latent semantic analysis
H Kim, H Lee, J Seo
Information processing & management 43 (2), 420-430, 2007
Traffic-aware routing protocol for wireless sensor networks
C Park, H Kim, I Jung
Cluster Computing 15 (1), 27-36, 2012
Social relation extraction from texts using a support-vector-machine-based dependency trigram kernel
M Choi, H Kim
Information processing & management 49 (1), 303-311, 2013
Integrated neural network model for identifying speech acts, predicators, and sentiments of dialogue utterances
M Kim, H Kim
Pattern recognition letters 101, 1-5, 2018
Multi-turn chatbot based on query-context attentions and dual wasserstein generative adversarial networks
J Kim, S Oh, OW Kwon, H Kim
Applied sciences 9 (18), 3908, 2019
Effective integration of morphological analysis and named entity recognition based on a recurrent neural network
H Lee, G Park, H Kim
Pattern Recognition Letters 112, 361-365, 2018
A statistical prediction model of speakers’ intentions using multi-level features in a goal-oriented dialog system
CN Seon, H Kim, J Seo
Pattern Recognition Letters 33 (10), 1397-1404, 2012
Review of Korean speech act classification: machine learning methods
HS Kim, CN Seon, JY Seo
Journal of Computing Science and Engineering 5 (4), 288-293, 2011
Bagging-based active learning model for named entity recognition with distant supervision
S Lee, Y Song, M Choi, H Kim
2016 International conference on big data and smart computing (BigComp), 321-324, 2016
An integrated dialogue analysis model for determining speech acts and discourse structures
WS Choi, H Kim, J Seo
IEICE TRANSACTIONS on Information and Systems 88 (1), 150-157, 2005
A neural network model with feature selection for Korean speech act classification
K Kim, H Kim, J Seo
International journal of neural systems 14 (06), 407-414, 2004
Low-cost implementation of a named entity recognition system for voice-activated human-appliance interfaces in a smart home
G Park, H Kim
Sustainability 10 (2), 488, 2018
Semi-automatic construction of a named entity dictionary for entity-based sentiment analysis in social media
Y Song, S Jeong, H Kim
Multimedia Tools and Applications 76, 11319-11329, 2017
A reliable multidomain model for speech act classification
S Kang, H Kim, J Seo
Pattern Recognition Letters 31 (1), 71-74, 2010
The system can't perform the operation now. Try again later.
Articles 1–20