Pum-Mo Ryu

Orcid: 0000-0002-9777-9211

According to our database1, Pum-Mo Ryu authored at least 15 papers between 2004 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2018
Predicting the Unemployment Rate Using Social Media Analysis.
J. Inf. Process. Syst., 2018

2015
Paraphrase generation based on lexical knowledge and features for a natural language question answering system.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

2014
Open domain question answering using Wikipedia-based knowledge model.
Inf. Process. Manag., 2014

Sentential Paraphrase Generation for Agglutinative Languages Using SVM with a String Kernel.
Proceedings of the 28th Pacific Asia Conference on Language, Information and Computation, 2014

2013
Graph-Based Knowledge Consolidation in Ontology Population.
IEICE Trans. Inf. Syst., 2013

Extracting Events from Web Documents for Social Media Monitoring Using Structured SVM.
IEICE Trans. Inf. Syst., 2013

2012
Descriptive Question Answering with Answer Type Independent Features.
IEICE Trans. Inf. Syst., 2012

2011
Merging and Re-ranking Answers from Distributed Multiple Web Sources.
Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2011

Named entity recognition using a modified Pegasos algorithm.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2008
An Empirical Research on Extracting Relations from Wikipedia Text.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

2006
Determining the specificity of terms using inside-outside information: a necessary condition of term hierarchy mining.
Inf. Process. Lett., 2006

Compiling large language resources using lexical similarity metrics for domain taxonomy learning.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

Taxonomy Learning using Term Specificity and Similarity.
Proceedings of the 2nd Workshop on Ontology Learning and Population: Bridging the Gap between Text and Knowledge@COLING/ACL 2006, 2006

2004
An Effective Document Classification System Based on Concept Probability Vector.
Proceedings of the Content Computing, Advanced Workshop on Content Computing, 2004

Determining the Specificity of Terms using Compositional and Contextual Information.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, Barcelona, Spain, July 21-26, 2004, 2004


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