Matches in SemOpenAlex for { <https://semopenalex.org/work/W4315750526> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4315750526 abstract "The SIFRANK algorithm uses part-of-speech TAG to extract noun phrases as candidate sets for keyword extraction, and then uses the pre-trained ELMo model to obtain the semantic vectors of the current sentence and candidate phrases respectively, and measures the semantic similarity of the two to obtain the final keyword extraction results. However, it is difficult to set the regular expression of the part of speech(POS) TAG to a suitable formula. If it is too strict, the candidate set will be missing and the expected candidate words cannot be obtained. If the compound part of speech constraints such as gerunds are selected, unreasonable compound words will be obtained, resulting in poor final results. Therefore, this paper proposes a keyword extraction method DS-SIFRANK which increases the constraints of dependent semantic features. On the basis of SIFRANK, the restriction of part-of-speech TAG is enlarged, the dependency relationship is increased, and the candidate words are re-segmented and dependency syntactic parsing is performed to reduce the influence of inaccurate compound words on the extraction results. The experimental results show that the F1 index of the DS-SIFRANK method on the test set reaches 0.4872, which is 0.096 higher than that of the SIFRANK method." @default.
- W4315750526 created "2023-01-13" @default.
- W4315750526 creator A5001880744 @default.
- W4315750526 creator A5005877937 @default.
- W4315750526 creator A5023982052 @default.
- W4315750526 creator A5043299191 @default.
- W4315750526 creator A5052441498 @default.
- W4315750526 creator A5081901139 @default.
- W4315750526 date "2022-12-16" @default.
- W4315750526 modified "2023-09-27" @default.
- W4315750526 title "SIFRANK Algorithm for Chinese Text Keyword Extraction Based on Dependent Semantic Feature Constraints" @default.
- W4315750526 cites W2092654472 @default.
- W4315750526 cites W2167329753 @default.
- W4315750526 cites W2510940142 @default.
- W4315750526 cites W2604853468 @default.
- W4315750526 cites W2962739339 @default.
- W4315750526 cites W2970352191 @default.
- W4315750526 cites W2974528752 @default.
- W4315750526 cites W3000623537 @default.
- W4315750526 cites W4245267204 @default.
- W4315750526 doi "https://doi.org/10.1109/iciea54703.2022.10006207" @default.
- W4315750526 hasPublicationYear "2022" @default.
- W4315750526 type Work @default.
- W4315750526 citedByCount "0" @default.
- W4315750526 crossrefType "proceedings-article" @default.
- W4315750526 hasAuthorship W4315750526A5001880744 @default.
- W4315750526 hasAuthorship W4315750526A5005877937 @default.
- W4315750526 hasAuthorship W4315750526A5023982052 @default.
- W4315750526 hasAuthorship W4315750526A5043299191 @default.
- W4315750526 hasAuthorship W4315750526A5052441498 @default.
- W4315750526 hasAuthorship W4315750526A5081901139 @default.
- W4315750526 hasConcept C103278499 @default.
- W4315750526 hasConcept C115961682 @default.
- W4315750526 hasConcept C153180895 @default.
- W4315750526 hasConcept C154945302 @default.
- W4315750526 hasConcept C164883195 @default.
- W4315750526 hasConcept C177264268 @default.
- W4315750526 hasConcept C184337299 @default.
- W4315750526 hasConcept C186644900 @default.
- W4315750526 hasConcept C19768560 @default.
- W4315750526 hasConcept C199360897 @default.
- W4315750526 hasConcept C204321447 @default.
- W4315750526 hasConcept C2777530160 @default.
- W4315750526 hasConcept C28490314 @default.
- W4315750526 hasConcept C41008148 @default.
- W4315750526 hasConceptScore W4315750526C103278499 @default.
- W4315750526 hasConceptScore W4315750526C115961682 @default.
- W4315750526 hasConceptScore W4315750526C153180895 @default.
- W4315750526 hasConceptScore W4315750526C154945302 @default.
- W4315750526 hasConceptScore W4315750526C164883195 @default.
- W4315750526 hasConceptScore W4315750526C177264268 @default.
- W4315750526 hasConceptScore W4315750526C184337299 @default.
- W4315750526 hasConceptScore W4315750526C186644900 @default.
- W4315750526 hasConceptScore W4315750526C19768560 @default.
- W4315750526 hasConceptScore W4315750526C199360897 @default.
- W4315750526 hasConceptScore W4315750526C204321447 @default.
- W4315750526 hasConceptScore W4315750526C2777530160 @default.
- W4315750526 hasConceptScore W4315750526C28490314 @default.
- W4315750526 hasConceptScore W4315750526C41008148 @default.
- W4315750526 hasLocation W43157505261 @default.
- W4315750526 hasOpenAccess W4315750526 @default.
- W4315750526 hasPrimaryLocation W43157505261 @default.
- W4315750526 hasRelatedWork W2125811587 @default.
- W4315750526 hasRelatedWork W2200456380 @default.
- W4315750526 hasRelatedWork W2250565030 @default.
- W4315750526 hasRelatedWork W2251015434 @default.
- W4315750526 hasRelatedWork W2251316775 @default.
- W4315750526 hasRelatedWork W2251641918 @default.
- W4315750526 hasRelatedWork W2397604952 @default.
- W4315750526 hasRelatedWork W2511797247 @default.
- W4315750526 hasRelatedWork W4200472398 @default.
- W4315750526 hasRelatedWork W44286443 @default.
- W4315750526 isParatext "false" @default.
- W4315750526 isRetracted "false" @default.
- W4315750526 workType "article" @default.