Wook Shin Han

Summary

Affiliation: Kyungpook National University

Country: Korea

Combining active learning and semi-supervised learning techniques to extract protein interaction sentences
Min Song
Information Systems Department, New Jersey Institute of Technology, University Heights, Newark, New Jersey, USA
BMC Bioinformatics 12:S4. 2011
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS
Hwanjo Yu
CSE Department, POSTECH, Pohang, South Korea
BMC Bioinformatics 11:S6. 2010
Processing SPARQL queries with regular expressions in RDF databases
JinSoo Lee
Department of Computer Engineering, Kyungpook National University, Daegu, Korea
BMC Bioinformatics 12:S6. 2011

Combining active learning and semi-supervised learning techniques to extract protein interaction sentences
Min Song
Information Systems Department, New Jersey Institute of Technology, University Heights, Newark, New Jersey, USA
BMC Bioinformatics 12:S4. 2011
..Both Active Learning and Semi-supervised SVMs have recently been applied to extract PPI automatically. In this paper, we explore combining the AL with the SSL to improve the performance of the PPI task...
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS
Hwanjo Yu
CSE Department, POSTECH, Pohang, South Korea
BMC Bioinformatics 11:S6. 2010
..This paper proposes a novel multi-level relevance feedback system for PubMed, called RefMed, which supports both ad-hoc keyword queries and a multi-level relevance feedback in real time on PubMed...
Processing SPARQL queries with regular expressions in RDF databases
JinSoo Lee
Department of Computer Engineering, Kyungpook National University, Daegu, Korea
BMC Bioinformatics 12:S6. 2011
..Most of the existing techniques for processing regular expressions are designed for querying a text corpus, or only for supporting the matching over the paths in an RDF graph...