Matches in SemOpenAlex for { <https://semopenalex.org/work/W1984600142> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W1984600142 endingPage "95" @default.
- W1984600142 startingPage "75" @default.
- W1984600142 abstract "This paper proposes two approaches to address text summarization: modified corpus-based approach (MCBA) and LSA-based T.R.M. approach (LSA + T.R.M.). The first is a trainable summarizer, which takes into account several features, including position, positive keyword, negative keyword, centrality, and the resemblance to the title, to generate summaries. Two new ideas are exploited: (1) sentence positions are ranked to emphasize the significances of different sentence positions, and (2) the score function is trained by the genetic algorithm (GA) to obtain a suitable combination of feature weights. The second uses latent semantic analysis (LSA) to derive the semantic matrix of a document or a corpus and uses semantic sentence representation to construct a semantic text relationship map. We evaluate LSA + T.R.M. both with single documents and at the corpus level to investigate the competence of LSA in text summarization. The two novel approaches were measured at several compression rates on a data corpus composed of 100 political articles. When the compression rate was 30%, an average f-measure of 49% for MCBA, 52% for MCBA + GA, 44% and 40% for LSA + T.R.M. in single-document and corpus level were achieved respectively." @default.
- W1984600142 created "2016-06-24" @default.
- W1984600142 creator A5013693909 @default.
- W1984600142 creator A5062541146 @default.
- W1984600142 creator A5076496184 @default.
- W1984600142 creator A5086435960 @default.
- W1984600142 date "2005-01-01" @default.
- W1984600142 modified "2023-09-27" @default.
- W1984600142 title "Text summarization using a trainable summarizer and latent semantic analysis" @default.
- W1984600142 cites W1583480021 @default.
- W1984600142 cites W1588495139 @default.
- W1984600142 cites W1967082914 @default.
- W1984600142 cites W1974339500 @default.
- W1984600142 cites W1978117656 @default.
- W1984600142 cites W1979068940 @default.
- W1984600142 cites W2031551344 @default.
- W1984600142 cites W2034771957 @default.
- W1984600142 cites W2051618067 @default.
- W1984600142 cites W2055452728 @default.
- W1984600142 cites W2064742743 @default.
- W1984600142 cites W2066350381 @default.
- W1984600142 cites W2101119909 @default.
- W1984600142 cites W2101390659 @default.
- W1984600142 cites W2134731454 @default.
- W1984600142 cites W2147152072 @default.
- W1984600142 cites W2158997610 @default.
- W1984600142 cites W2162965720 @default.
- W1984600142 cites W2166347079 @default.
- W1984600142 cites W2021027533 @default.
- W1984600142 doi "https://doi.org/10.1016/j.ipm.2004.04.003" @default.
- W1984600142 hasPublicationYear "2005" @default.
- W1984600142 type Work @default.
- W1984600142 sameAs 1984600142 @default.
- W1984600142 citedByCount "214" @default.
- W1984600142 countsByYear W19846001422012 @default.
- W1984600142 countsByYear W19846001422013 @default.
- W1984600142 countsByYear W19846001422014 @default.
- W1984600142 countsByYear W19846001422015 @default.
- W1984600142 countsByYear W19846001422016 @default.
- W1984600142 countsByYear W19846001422017 @default.
- W1984600142 countsByYear W19846001422018 @default.
- W1984600142 countsByYear W19846001422019 @default.
- W1984600142 countsByYear W19846001422020 @default.
- W1984600142 countsByYear W19846001422021 @default.
- W1984600142 countsByYear W19846001422022 @default.
- W1984600142 countsByYear W19846001422023 @default.
- W1984600142 crossrefType "journal-article" @default.
- W1984600142 hasAuthorship W1984600142A5013693909 @default.
- W1984600142 hasAuthorship W1984600142A5062541146 @default.
- W1984600142 hasAuthorship W1984600142A5076496184 @default.
- W1984600142 hasAuthorship W1984600142A5086435960 @default.
- W1984600142 hasConcept C154945302 @default.
- W1984600142 hasConcept C170133592 @default.
- W1984600142 hasConcept C170858558 @default.
- W1984600142 hasConcept C204321447 @default.
- W1984600142 hasConcept C23123220 @default.
- W1984600142 hasConcept C2777530160 @default.
- W1984600142 hasConcept C41008148 @default.
- W1984600142 hasConceptScore W1984600142C154945302 @default.
- W1984600142 hasConceptScore W1984600142C170133592 @default.
- W1984600142 hasConceptScore W1984600142C170858558 @default.
- W1984600142 hasConceptScore W1984600142C204321447 @default.
- W1984600142 hasConceptScore W1984600142C23123220 @default.
- W1984600142 hasConceptScore W1984600142C2777530160 @default.
- W1984600142 hasConceptScore W1984600142C41008148 @default.
- W1984600142 hasIssue "1" @default.
- W1984600142 hasLocation W19846001421 @default.
- W1984600142 hasOpenAccess W1984600142 @default.
- W1984600142 hasPrimaryLocation W19846001421 @default.
- W1984600142 hasRelatedWork W132250100 @default.
- W1984600142 hasRelatedWork W2093597205 @default.
- W1984600142 hasRelatedWork W2099984331 @default.
- W1984600142 hasRelatedWork W2104752822 @default.
- W1984600142 hasRelatedWork W2347941600 @default.
- W1984600142 hasRelatedWork W2361032643 @default.
- W1984600142 hasRelatedWork W2389846579 @default.
- W1984600142 hasRelatedWork W2392495745 @default.
- W1984600142 hasRelatedWork W2747680751 @default.
- W1984600142 hasRelatedWork W4245747019 @default.
- W1984600142 hasVolume "41" @default.
- W1984600142 isParatext "false" @default.
- W1984600142 isRetracted "false" @default.
- W1984600142 magId "1984600142" @default.
- W1984600142 workType "article" @default.