Matches in SemOpenAlex for { <https://semopenalex.org/work/W2982220281> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2982220281 endingPage "167520" @default.
- W2982220281 startingPage "167507" @default.
- W2982220281 abstract "Keyphrase extraction is the task of automatically extracting descriptive phrases or concepts that represent the main topics in a document. Finding good keyphrases in a document can quickly summarize knowledge for information retrieval and decision making. Existing keyphrase extraction methods cannot be customized to each specific document, and cannot capture flexible semantic relations. In this paper, a keyphrase extraction algorithm using maximum sequential pattern mining with one-off and general gaps condition, called Ke-MSMING, is presented. Ke_MSMING first searches all keyphrase candidates from a document using sequential patterns mining and the topic model, and then adopts supervised machine learning to classify each keyphrase candidate as a keyphrase or not. Finally, Ke_MSMING selects top-N keyphrases as the final keyphrases. Ke_MSMING not only uses baseline features and pattern features but also uses centrality features obtained from the cooccurrence semantic network, and the cooccurrence networks can yield powerful semantic relations for keyphrase extraction. Experimental results on two datasets demonstrate that Ke_MSMING has better performance than other state-of-the-art keyphrase extraction approaches." @default.
- W2982220281 created "2019-11-01" @default.
- W2982220281 creator A5040157899 @default.
- W2982220281 creator A5046372467 @default.
- W2982220281 creator A5061058262 @default.
- W2982220281 creator A5080738591 @default.
- W2982220281 date "2019-01-01" @default.
- W2982220281 modified "2023-09-27" @default.
- W2982220281 title "Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations" @default.
- W2982220281 cites W1967082914 @default.
- W2982220281 cites W1968131865 @default.
- W2982220281 cites W1988636190 @default.
- W2982220281 cites W1999447745 @default.
- W2982220281 cites W2009209705 @default.
- W2982220281 cites W2014945137 @default.
- W2982220281 cites W2015469910 @default.
- W2982220281 cites W2022149269 @default.
- W2982220281 cites W2052950171 @default.
- W2982220281 cites W2062233052 @default.
- W2982220281 cites W2064293828 @default.
- W2982220281 cites W2068796797 @default.
- W2982220281 cites W2083673244 @default.
- W2982220281 cites W2083946022 @default.
- W2982220281 cites W2098162425 @default.
- W2982220281 cites W2123107811 @default.
- W2982220281 cites W2141514700 @default.
- W2982220281 cites W2158454296 @default.
- W2982220281 cites W2169012723 @default.
- W2982220281 cites W2251476947 @default.
- W2982220281 cites W2344811709 @default.
- W2982220281 cites W2417999172 @default.
- W2982220281 cites W2537091826 @default.
- W2982220281 cites W2586561586 @default.
- W2982220281 cites W2605965597 @default.
- W2982220281 cites W2735674392 @default.
- W2982220281 cites W2742163795 @default.
- W2982220281 cites W2744305814 @default.
- W2982220281 cites W2762949748 @default.
- W2982220281 cites W2773162980 @default.
- W2982220281 cites W2789134819 @default.
- W2982220281 cites W2802013757 @default.
- W2982220281 cites W2808450271 @default.
- W2982220281 cites W2890179025 @default.
- W2982220281 cites W2913056274 @default.
- W2982220281 cites W758607154 @default.
- W2982220281 doi "https://doi.org/10.1109/access.2019.2948891" @default.
- W2982220281 hasPublicationYear "2019" @default.
- W2982220281 type Work @default.
- W2982220281 sameAs 2982220281 @default.
- W2982220281 citedByCount "2" @default.
- W2982220281 countsByYear W29822202812021 @default.
- W2982220281 crossrefType "journal-article" @default.
- W2982220281 hasAuthorship W2982220281A5040157899 @default.
- W2982220281 hasAuthorship W2982220281A5046372467 @default.
- W2982220281 hasAuthorship W2982220281A5061058262 @default.
- W2982220281 hasAuthorship W2982220281A5080738591 @default.
- W2982220281 hasBestOaLocation W29822202811 @default.
- W2982220281 hasConcept C153604712 @default.
- W2982220281 hasConcept C154945302 @default.
- W2982220281 hasConcept C184337299 @default.
- W2982220281 hasConcept C195807954 @default.
- W2982220281 hasConcept C199360897 @default.
- W2982220281 hasConcept C204321447 @default.
- W2982220281 hasConcept C23123220 @default.
- W2982220281 hasConcept C41008148 @default.
- W2982220281 hasConceptScore W2982220281C153604712 @default.
- W2982220281 hasConceptScore W2982220281C154945302 @default.
- W2982220281 hasConceptScore W2982220281C184337299 @default.
- W2982220281 hasConceptScore W2982220281C195807954 @default.
- W2982220281 hasConceptScore W2982220281C199360897 @default.
- W2982220281 hasConceptScore W2982220281C204321447 @default.
- W2982220281 hasConceptScore W2982220281C23123220 @default.
- W2982220281 hasConceptScore W2982220281C41008148 @default.
- W2982220281 hasLocation W29822202811 @default.
- W2982220281 hasOpenAccess W2982220281 @default.
- W2982220281 hasPrimaryLocation W29822202811 @default.
- W2982220281 hasRelatedWork W102721276 @default.
- W2982220281 hasRelatedWork W1515542156 @default.
- W2982220281 hasRelatedWork W1525881281 @default.
- W2982220281 hasRelatedWork W2368651715 @default.
- W2982220281 hasRelatedWork W2406348363 @default.
- W2982220281 hasRelatedWork W2544158957 @default.
- W2982220281 hasRelatedWork W2760724154 @default.
- W2982220281 hasRelatedWork W2993873509 @default.
- W2982220281 hasRelatedWork W3002472320 @default.
- W2982220281 hasRelatedWork W3107474891 @default.
- W2982220281 hasVolume "7" @default.
- W2982220281 isParatext "false" @default.
- W2982220281 isRetracted "false" @default.
- W2982220281 magId "2982220281" @default.
- W2982220281 workType "article" @default.