BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
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XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
1 × Singapore
1 × Switzerland
1 × United Kingdom
2 × China
2 × USA
Collaborated with:
H.Rim C.Lin J.Lee S.Lee T.Sakai M.P.Kato J.Liu K.Han J.Kim L.Jiang S.Hwang M.Zhou H.Woo H.Lee H.Park G.Cong L.Wang Y.Sun K.Sun Y.Cao X.Song X.Wang
Talks about:
question (3) retriev (2) answer (2) user (2) high (2) find (2) base (2) use (2) probabilist (1) sentiment (1)

Person: Young-In Song

DBLP DBLP: Song:Young=In

Contributed to:

CIKM 20112011
SIGIR 20112011
SIGIR 20102010
CIKM 20092009
SIGIR 20092009
SIGIR 20082008
SIGIR 20062006

Wrote 9 papers:

CIKM-2011-KimJHSZ #approach #corpus #graph #mining
Mining entity translations from comparable corpora: a holistic graph mapping approach (JK, LJ, SwH, YIS, MZ), pp. 1295–1304.
CIKM-2011-SakaiKS #information management
Click the search button and be happy: evaluating direct and immediate information access (TS, MPK, YIS), pp. 621–630.
SIGIR-2011-LiuSL #estimation
Competition-based user expertise score estimation (JL, YIS, CYL), pp. 425–434.
SIGIR-2010-LeeLSR #precise #retrieval #sentiment #using
High precision opinion retrieval using sentiment-relevance flows (SWL, JTL, YIS, HCR), pp. 817–818.
SIGIR-2010-WooLLSR #ranking #retrieval #using
Achieving high accuracy retrieval using intra-document term ranking (HWW, JTL, SWL, YIS, HCR), pp. 885–886.
CIKM-2009-SunCSSWL #learning #recommendation
Learning to recommend questions based on user ratings (KS, YC, XS, YIS, XW, CYL), pp. 751–758.
SIGIR-2009-LeeLPSR #keyword #video
Finding advertising keywords on video scripts (JTL, HL, HSP, YIS, HCR), pp. 686–687.
SIGIR-2008-CongWLSS #online
Finding question-answer pairs from online forums (GC, LW, CYL, YIS, YS), pp. 467–474.
SIGIR-2006-HanSR #probability
Probabilistic model for definitional question answering (KSH, YIS, HCR), pp. 212–219.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.