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Travelled to:
1 × Austria
1 × Brazil
1 × Germany
1 × Korea
1 × Russia
1 × Singapore
1 × The Netherlands
1 × United Kingdom
2 × Switzerland
8 × USA
Collaborated with:
S.S.R.Mengle L.Ma O.Frieder A.Yates A.Platt W.G.Yee D.A.Grossman A.Chowdhury S.M.Beitzel E.C.Jensen H.Tan M.Sherr J.Urbain J.Parker J.Mundrawala R.Cathey M.Chung L.Soldaini A.Cohan S.Liu Y.Merhav A.J.Pilotto
Talks about:
detect (8) inform (6) use (6) retriev (5) queri (5) relationship (4) system (4) document (3) categori (3) search (3)

Person: Nazli Goharian

DBLP DBLP: Goharian:Nazli

Contributed to:

ECIR 20152015
ECIR 20142014
ECIR 20132013
SIGIR 20122012
ECIR 20102010
SAC 20102010
SIGIR 20102010
SAC 20092009
CIKM 20082008
SAC 20082008
SIGIR 20082008
SAC 20072007
CIKM 20052005
SAC 20052005
CIKM 20042004
CIKM 20032003
SAC 20032003
CIKM 20022002

Wrote 22 papers:

ECIR-2015-SoldainiCYGF
Retrieving Medical Literature for Clinical Decision Support (LS, AC, AY, NG, OF), pp. 538–549.
ECIR-2014-YatesGF
Relevance-Ranked Domain-Specific Synonym Discovery (AY, NG, OF), pp. 124–135.
ECIR-2013-YatesG #detection #named #social #social media
ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites (AY, NG), pp. 816–819.
SIGIR-2012-ParkerYGY #estimation #performance
Efficient estimation of aspect weights (JP, AY, NG, WGY), pp. 1057–1058.
SIGIR-2012-TanGS #exclamation #identification
$100, 000 prize jackpot. call now!: identifying the pertinent features of SMS spam (HT, NG, MS), pp. 1175–1176.
ECIR-2010-GoharianFYM #peer-to-peer #query #using
Enriching Peer-to-Peer File Descriptors Using Association Rules on Query Logs (NG, OF, WGY, JM), pp. 636–639.
SAC-2010-MengleG #category theory #mining
Mining temporal relationships among categories (SSRM, NG), pp. 1107–1108.
SIGIR-2010-GoharianM #classification #query #using
Context aware query classification using dynamic query window and relationship net (NG, SSRM), pp. 723–724.
SAC-2009-LiuMYGF #corpus #mining #probability
A sentence level probabilistic model for evolutionary theme pattern mining from news corpora (SL, YM, WGY, NG, OF), pp. 1742–1747.
SAC-2009-PlattMG #classification #detection #topic
Improving classification based off-topic search detection via category relationships (AP, SSRM, NG), pp. 869–874.
CIKM-2008-UrbainFG #modelling
Passage relevance models for genomics search (JU, OF, NG), pp. 1357–1358.
SAC-2008-MengleG #algorithm #ambiguity #classification #feature model #using
Using ambiguity measure feature selection algorithm for support vector machine classifier (SSRM, NG), pp. 916–920.
SAC-2008-MengleGP #category theory #classification #using
Discovering relationships among categories using misclassification information (SSRM, NG, AP), pp. 932–937.
SIGIR-2008-GoharianM #detection #documentation #on the
On document splitting in passage detection (NG, SSRM), pp. 833–834.
SAC-2007-PlattGM #detection #on the #query #sequence #topic #using
On using user query sequence to detect off-topic search (AP, NG, SSRM), pp. 882–883.
CIKM-2005-GoharianM #detection #information management #on the #topic
On off-topic access detection in information systems (NG, LM), pp. 353–354.
SAC-2005-MaG #detection #information retrieval #query
Query length impact on misuse detection in information retrieval systems (LM, NG), pp. 1070–1075.
CIKM-2004-MaG #detection #feedback #information retrieval #using
Using relevance feedback to detect misuse for information retrieval systems (LM, NG), pp. 164–165.
CIKM-2003-CatheyMGG #detection #information retrieval
Misuse detection for information retrieval systems (RC, LM, NG, DAG), pp. 183–190.
CIKM-2003-MaGCC #documentation #semistructured data #web
Extracting unstructured data from template generated web documents (LM, NG, AC, MC), pp. 512–515.
SAC-2003-BeitzelJCFGG #analysis #data fusion #effectiveness #information retrieval
Disproving the Fusion Hypothesis: An Analysis of Data Fusion via Effective Information Retrieval Strategies (SMB, ECJ, AC, OF, DAG, NG), pp. 823–827.
CIKM-2002-JensenBPGF #algorithm #clustering #documentation #performance
Parallelizing the buckshot algorithm for efficient document clustering (ECJ, SMB, AJP, NG, OF), pp. 684–686.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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