Matches in SemOpenAlex for { <https://semopenalex.org/work/W2012179416> ?p ?o ?g. }
- W2012179416 endingPage "7772" @default.
- W2012179416 startingPage "7764" @default.
- W2012179416 abstract "The technology of automatic document summarization is maturing and may provide a solution to the information overload problem. Nowadays, document summarization plays an important role in information retrieval. With a large volume of documents, presenting the user with a summary of each document greatly facilitates the task of finding the desired documents. Document summarization is a process of automatically creating a compressed version of a given document that provides useful information to users, and multi-document summarization is to produce a summary delivering the majority of information content from a set of documents about an explicit or implicit main topic. In our study we focus on sentence based extractive document summarization. We propose the generic document summarization method which is based on sentence clustering. The proposed approach is a continue sentence-clustering based extractive summarization methods, proposed in Alguliev [Alguliev, R. M., Aliguliyev, R. M., Bagirov, A. M. (2005). Global optimization in the summarization of text documents. Automatic Control and Computer Sciences 39, 42–47], Aliguliyev [Aliguliyev, R. M. (2006). A novel partitioning-based clustering method and generic document summarization. In Proceedings of the 2006 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology (WI–IAT 2006 Workshops) (WI–IATW’06), 18–22 December (pp. 626–629) Hong Kong, China], Alguliev and Alyguliev [Alguliev, R. M., Alyguliev, R. M. (2007). Summarization of text-based documents with a determination of latent topical sections and information-rich sentences. Automatic Control and Computer Sciences 41, 132–140] Aliguliyev, [Aliguliyev, R. M. (2007). Automatic document summarization by sentence extraction. Journal of Computational Technologies 12, 5–15.]. The purpose of present paper to show, that summarization result not only depends on optimized function, and also depends on a similarity measure. The experimental results on an open benchmark datasets from DUC01 and DUC02 show that our proposed approach can improve the performance compared to sate-of-the-art summarization approaches." @default.
- W2012179416 created "2016-06-24" @default.
- W2012179416 creator A5051760682 @default.
- W2012179416 date "2009-05-01" @default.
- W2012179416 modified "2023-09-27" @default.
- W2012179416 title "A new sentence similarity measure and sentence based extractive technique for automatic text summarization" @default.
- W2012179416 cites W1489991816 @default.
- W2012179416 cites W1595159159 @default.
- W2012179416 cites W1913017565 @default.
- W2012179416 cites W1969743400 @default.
- W2012179416 cites W1984600142 @default.
- W2012179416 cites W1986429008 @default.
- W2012179416 cites W1992419399 @default.
- W2012179416 cites W1999447745 @default.
- W2012179416 cites W2002883930 @default.
- W2012179416 cites W2027582826 @default.
- W2012179416 cites W2048207804 @default.
- W2012179416 cites W2055452728 @default.
- W2012179416 cites W2066350381 @default.
- W2012179416 cites W2082758751 @default.
- W2012179416 cites W2085625396 @default.
- W2012179416 cites W2087962968 @default.
- W2012179416 cites W2094963775 @default.
- W2012179416 cites W2098162425 @default.
- W2012179416 cites W2109535575 @default.
- W2012179416 cites W2111822570 @default.
- W2012179416 cites W2121184547 @default.
- W2012179416 cites W2137763598 @default.
- W2012179416 cites W2138810473 @default.
- W2012179416 cites W2139450862 @default.
- W2012179416 cites W2148374900 @default.
- W2012179416 cites W2150824314 @default.
- W2012179416 cites W2154840867 @default.
- W2012179416 cites W2163036995 @default.
- W2012179416 cites W2165897980 @default.
- W2012179416 cites W2170292186 @default.
- W2012179416 cites W3022132652 @default.
- W2012179416 cites W3101913037 @default.
- W2012179416 cites W3152330821 @default.
- W2012179416 doi "https://doi.org/10.1016/j.eswa.2008.11.022" @default.
- W2012179416 hasPublicationYear "2009" @default.
- W2012179416 type Work @default.
- W2012179416 sameAs 2012179416 @default.
- W2012179416 citedByCount "232" @default.
- W2012179416 countsByYear W20121794162012 @default.
- W2012179416 countsByYear W20121794162013 @default.
- W2012179416 countsByYear W20121794162014 @default.
- W2012179416 countsByYear W20121794162015 @default.
- W2012179416 countsByYear W20121794162016 @default.
- W2012179416 countsByYear W20121794162017 @default.
- W2012179416 countsByYear W20121794162018 @default.
- W2012179416 countsByYear W20121794162019 @default.
- W2012179416 countsByYear W20121794162020 @default.
- W2012179416 countsByYear W20121794162021 @default.
- W2012179416 countsByYear W20121794162022 @default.
- W2012179416 countsByYear W20121794162023 @default.
- W2012179416 crossrefType "journal-article" @default.
- W2012179416 hasAuthorship W2012179416A5051760682 @default.
- W2012179416 hasConcept C134714966 @default.
- W2012179416 hasConcept C136764020 @default.
- W2012179416 hasConcept C154945302 @default.
- W2012179416 hasConcept C162324750 @default.
- W2012179416 hasConcept C170858558 @default.
- W2012179416 hasConcept C177264268 @default.
- W2012179416 hasConcept C186625053 @default.
- W2012179416 hasConcept C187736073 @default.
- W2012179416 hasConcept C199360897 @default.
- W2012179416 hasConcept C204321447 @default.
- W2012179416 hasConcept C23123220 @default.
- W2012179416 hasConcept C2777530160 @default.
- W2012179416 hasConcept C2780451532 @default.
- W2012179416 hasConcept C41008148 @default.
- W2012179416 hasConcept C73555534 @default.
- W2012179416 hasConceptScore W2012179416C134714966 @default.
- W2012179416 hasConceptScore W2012179416C136764020 @default.
- W2012179416 hasConceptScore W2012179416C154945302 @default.
- W2012179416 hasConceptScore W2012179416C162324750 @default.
- W2012179416 hasConceptScore W2012179416C170858558 @default.
- W2012179416 hasConceptScore W2012179416C177264268 @default.
- W2012179416 hasConceptScore W2012179416C186625053 @default.
- W2012179416 hasConceptScore W2012179416C187736073 @default.
- W2012179416 hasConceptScore W2012179416C199360897 @default.
- W2012179416 hasConceptScore W2012179416C204321447 @default.
- W2012179416 hasConceptScore W2012179416C23123220 @default.
- W2012179416 hasConceptScore W2012179416C2777530160 @default.
- W2012179416 hasConceptScore W2012179416C2780451532 @default.
- W2012179416 hasConceptScore W2012179416C41008148 @default.
- W2012179416 hasConceptScore W2012179416C73555534 @default.
- W2012179416 hasIssue "4" @default.
- W2012179416 hasLocation W20121794161 @default.
- W2012179416 hasOpenAccess W2012179416 @default.
- W2012179416 hasPrimaryLocation W20121794161 @default.
- W2012179416 hasRelatedWork W132250100 @default.
- W2012179416 hasRelatedWork W2006987282 @default.
- W2012179416 hasRelatedWork W2008129036 @default.
- W2012179416 hasRelatedWork W2093597205 @default.
- W2012179416 hasRelatedWork W2223071683 @default.
- W2012179416 hasRelatedWork W2389846579 @default.