Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366380923> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4366380923 abstract "Named entity recognition is a task in information extraction. In Chinese NER, it is more common to use characters as input. However, the character vector in this model carries less information and cannot represent the word information and polysemy problem. To solve these problems, BERT model, dictionary embedding and graph convolution neural network model are introduced, and a semantic enhancement method for Chinese NER is proposed. In the new method, the character vectors with prior knowledge obtained by BERT are inserted into the dictionary and fused with word-level and word-level features. Contextual semantic information is then obtained by encoding in LSTM, and input into the graph convolutional neural network to obtain the global semantic features of characters. Next, the fused semantic features are input to conditional random field for sequential label decoding. In this paper, model comparison experiments are carried out in four classical Chinese data sets. In the Resume dataset experiment, compared with the comparison model, the three indexes of the new method are optimal. In the experiment of ne and nm data sets in WeiBo data set, the index F1 of the new method is optimal. In the OntoNotes dataset experiment, P and F1 of the new method are optimal." @default.
- W4366380923 created "2023-04-21" @default.
- W4366380923 creator A5032276207 @default.
- W4366380923 creator A5051474305 @default.
- W4366380923 creator A5074058355 @default.
- W4366380923 creator A5075453813 @default.
- W4366380923 creator A5077223962 @default.
- W4366380923 date "2022-12-16" @default.
- W4366380923 modified "2023-09-25" @default.
- W4366380923 title "A Chinese named entity approach for character semantic enhancement" @default.
- W4366380923 cites W2912102336 @default.
- W4366380923 cites W2952595356 @default.
- W4366380923 cites W2962904552 @default.
- W4366380923 cites W3011594683 @default.
- W4366380923 cites W3035642486 @default.
- W4366380923 cites W3210120707 @default.
- W4366380923 doi "https://doi.org/10.1145/3584376.3584475" @default.
- W4366380923 hasPublicationYear "2022" @default.
- W4366380923 type Work @default.
- W4366380923 citedByCount "0" @default.
- W4366380923 crossrefType "proceedings-article" @default.
- W4366380923 hasAuthorship W4366380923A5032276207 @default.
- W4366380923 hasAuthorship W4366380923A5051474305 @default.
- W4366380923 hasAuthorship W4366380923A5074058355 @default.
- W4366380923 hasAuthorship W4366380923A5075453813 @default.
- W4366380923 hasAuthorship W4366380923A5077223962 @default.
- W4366380923 hasConcept C132525143 @default.
- W4366380923 hasConcept C152565575 @default.
- W4366380923 hasConcept C153180895 @default.
- W4366380923 hasConcept C154945302 @default.
- W4366380923 hasConcept C162324750 @default.
- W4366380923 hasConcept C187736073 @default.
- W4366380923 hasConcept C204321447 @default.
- W4366380923 hasConcept C2524010 @default.
- W4366380923 hasConcept C2777462759 @default.
- W4366380923 hasConcept C2779135771 @default.
- W4366380923 hasConcept C2780276568 @default.
- W4366380923 hasConcept C2780451532 @default.
- W4366380923 hasConcept C2780861071 @default.
- W4366380923 hasConcept C2781051154 @default.
- W4366380923 hasConcept C33923547 @default.
- W4366380923 hasConcept C41008148 @default.
- W4366380923 hasConcept C41608201 @default.
- W4366380923 hasConcept C80444323 @default.
- W4366380923 hasConcept C81363708 @default.
- W4366380923 hasConcept C90805587 @default.
- W4366380923 hasConceptScore W4366380923C132525143 @default.
- W4366380923 hasConceptScore W4366380923C152565575 @default.
- W4366380923 hasConceptScore W4366380923C153180895 @default.
- W4366380923 hasConceptScore W4366380923C154945302 @default.
- W4366380923 hasConceptScore W4366380923C162324750 @default.
- W4366380923 hasConceptScore W4366380923C187736073 @default.
- W4366380923 hasConceptScore W4366380923C204321447 @default.
- W4366380923 hasConceptScore W4366380923C2524010 @default.
- W4366380923 hasConceptScore W4366380923C2777462759 @default.
- W4366380923 hasConceptScore W4366380923C2779135771 @default.
- W4366380923 hasConceptScore W4366380923C2780276568 @default.
- W4366380923 hasConceptScore W4366380923C2780451532 @default.
- W4366380923 hasConceptScore W4366380923C2780861071 @default.
- W4366380923 hasConceptScore W4366380923C2781051154 @default.
- W4366380923 hasConceptScore W4366380923C33923547 @default.
- W4366380923 hasConceptScore W4366380923C41008148 @default.
- W4366380923 hasConceptScore W4366380923C41608201 @default.
- W4366380923 hasConceptScore W4366380923C80444323 @default.
- W4366380923 hasConceptScore W4366380923C81363708 @default.
- W4366380923 hasConceptScore W4366380923C90805587 @default.
- W4366380923 hasLocation W43663809231 @default.
- W4366380923 hasOpenAccess W4366380923 @default.
- W4366380923 hasPrimaryLocation W43663809231 @default.
- W4366380923 hasRelatedWork W2249191539 @default.
- W4366380923 hasRelatedWork W2510185679 @default.
- W4366380923 hasRelatedWork W2756655578 @default.
- W4366380923 hasRelatedWork W2796834587 @default.
- W4366380923 hasRelatedWork W2913404159 @default.
- W4366380923 hasRelatedWork W2939048927 @default.
- W4366380923 hasRelatedWork W3117568220 @default.
- W4366380923 hasRelatedWork W3132982245 @default.
- W4366380923 hasRelatedWork W4297665609 @default.
- W4366380923 hasRelatedWork W4312647484 @default.
- W4366380923 isParatext "false" @default.
- W4366380923 isRetracted "false" @default.
- W4366380923 workType "article" @default.