Travelled to:1 × Canada
1 × France
1 × Singapore
1 × USA
1 × United Kingdom
2 × China
Collaborated with:J.Lee I.Kang H.T.Ng Y.Lee S.Nam H.Yu S.Kim J.Kim
Talks about:retriev (6) improv (5) document (4) model (4) base (4) relev (3) post (3) probabilist (2) approach (2) similar (2)
Person: Seung-Hoon Na
DBLP: Na:Seung=Hoon
Contributed to:
2011
20102009
2009200920082008Wrote 11 papers:
- SIGIR-2011-NaN #documentation #information retrieval #representation
- Enriching document representation via translation for improved monolingual information retrieval (SHN, HTN), pp. 853–862.
- CIKM-2010-YuKN #named #question
- RankSVR: can preference data help regression? (HY, SK, SHN), pp. 879–888.
- CIKM-2009-LeeNL #approach #feedback #retrieval #using
- An improved feedback approach using relevant local posts for blog feed retrieval (YL, SHN, JHL), pp. 1971–1974.
- ECIR-2009-NaLNL #retrieval #sentiment
- Improving Opinion Retrieval Based on Query-Specific Sentiment Lexicon (SHN, YL, SHN, JHL), pp. 734–738.
- ECIR-2009-NamNLL #difference #named
- DiffPost: Filtering Non-relevant Content Based on Content Difference between Two Consecutive Blog Posts (SHN, SHN, YL, JHL), pp. 791–795.
- SIGIR-2009-NaN #probability #retrieval
- A 2-poisson model for probabilistic coreference of named entities for improved text retrieval (SHN, HTN), pp. 275–282.
- ECIR-2008-NaKL #documentation #modelling #multi #normalisation #topic
- Improving Term Frequency Normalization for Multi-topical Documents and Application to Language Modeling Approaches (SHN, ISK, JHL), pp. 382–393.
- ECIR-2008-NaKL08a #clustering #ranking #retrieval
- Structural Re-ranking with Cluster-Based Retrieval (SHN, ISK, JHL), pp. 658–662.
- ECIR-2008-NaKL08b #evaluation #nearest neighbour
- Revisit of Nearest Neighbor Test for Direct Evaluation of Inter-document Similarities (SHN, ISK, JHL), pp. 674–678.
- ECIR-2008-NaKL08c #probability #similarity #using
- Query-Based Inter-document Similarity Using Probabilistic Co-relevance Model (SHN, ISK, JHL), pp. 684–688.
- SIGIR-2008-NaKKL #information retrieval #proximity
- Exploiting proximity feature in bigram language model for information retrieval (SHN, JK, ISK, JHL), pp. 821–822.