• Refine your search:
  • 
    Keyword:
    
    • Algorithms (3)
    • Experimentation (3)
    • Performance Keywords Multi-document summarization (2)
    • Symmetric (2)
    • Categories and Subject Descriptors (1)
    • Comparative document summarization (1)
    • H.3.3 [Information Storage and Retrieval (1)
    • I.2.6 [Artificial Intelligence (1)
    • Information Search and Retrieval (1)
    • Learning General Terms (1)
    •   more
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium
  • 
    Type:
    
    • Article (4)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization Dingding Wang; Tao Li; Shenghuo Zhu; Chris Ding In: http://users.cis.fiu.edu/%7Etaoli/pub/sigir08-p307-wang.pdf (2008) Abstract: Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and machine learning techniques to extract sentences from documents. In this paper, we propose a new multi-document summarization framework based on sentence-level semantic analysis and symmetric non-negative matrix factorization. We first calculate sentence-sentence similarities using semantic analysis and construct the similarity matrix. Then symmetric matrix factorization, which has been shown to be equivalent to normalized spectral clustering, is used to group sentences into clusters. Finally, the most informative sentences are selected from each group to form the summary. Experimental results on DUC2005 and DUC2006 data sets demonstrate the improvement of our proposed framework over the implemented existing summarization systems. A further study on the factors that benefit the high performance is also conducted. Keyword: Algorithms; Experimentation; Performance Keywords Multi-document summarization; Sentence-level semantic analysis; Symmetric URL: http://users.cis.fiu.edu/%7Etaoli/pub/sigir08-p307-wang.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.172.4429 BASE Hide details 2 Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization Dingding Wang; Tao Li; Shenghuo Zhu... In: http://users.cs.fiu.edu/~taoli/tenure/fp557-Wang.pdf BASE Show details 3 Comparative document summarization via discriminative sentence selection Dingding Wang In: http://users.cis.fiu.edu/~taoli/pub/TKDD-a12-wang.pdf BASE Show details 4 iDVS: An Interactive Multi-document Visual Summarization System Yi Zhang; Dingding Wang; Tao Li In: http://users.cis.fiu.edu/~taoli/pub/iDVS.pdf BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 4 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0