FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3097546265> ?p ?o ?g. }

• W3097546265 endingPage "105830" @default.
• W3097546265 startingPage "105830" @default.
• W3097546265 abstract "Chinese named entity recognition is a crucial initial step of information extraction in the field of agricultural diseases and pests. This step aims to identify named entities related to agricultural diseases and pests from unstructured texts but presents challenges. The available corpus in this domain is limited, and most existing named entity recognition methods only focus on the global context information but neglect potential local context features, which are also equally important for named entity recognition. To solve the above problems and tackle the named entity recognition task in this paper, an available corpus toward agricultural diseases and pests, namely AgCNER, which contains 11 categories and 34,952 samples, was established. Compared with the corpora in the same field, this corpus has additional categories and more sample sizes. Then, a novel Chinese named entity recognition model via joint multi-scale local context features and the self-attention mechanism was proposed. The original Bi-directional Long Short-Term Memory and Conditional Random Field model (BiLSTM-CRF) was improved by fusing the multi-scale local context features extracted by Convolutional Neural Network (CNN) with different kernel sizes. The self-attention mechanism was also used to break the limitation of BiLSTM-CRF in capturing long-distance dependencies and further improve the model performance. The performance of the proposed model was evaluated on three corpora, namely AgCNER, Resume, and MSRA, which achieved the optimal F1-values of 94.15%, 94.56%, and 90.55%, respectively. Experimental results in many aspects illustrated the effective performance of the proposed model in this paper." @default.
• W3097546265 created "2020-11-09" @default.
• W3097546265 creator A5003416105 @default.
• W3097546265 creator A5016862420 @default.
• W3097546265 creator A5031355271 @default.
• W3097546265 creator A5044284871 @default.
• W3097546265 creator A5060331832 @default.
• W3097546265 creator A5076298659 @default.
• W3097546265 creator A5084377832 @default.
• W3097546265 date "2020-12-01" @default.
• W3097546265 modified "2023-10-03" @default.
• W3097546265 title "Chinese agricultural diseases and pests named entity recognition with multi-scale local context features and self-attention mechanism" @default.
• W3097546265 cites W2107435951 @default.
• W3097546265 cites W2583919260 @default.
• W3097546265 cites W2613831280 @default.
• W3097546265 cites W2779457220 @default.
• W3097546265 cites W2856296366 @default.
• W3097546265 cites W2936828149 @default.
• W3097546265 cites W2948614377 @default.
• W3097546265 cites W2954293108 @default.
• W3097546265 cites W2963571188 @default.
• W3097546265 cites W2967649271 @default.
• W3097546265 cites W2973965787 @default.
• W3097546265 cites W3004047707 @default.
• W3097546265 cites W3041766440 @default.
• W3097546265 doi "https://doi.org/10.1016/j.compag.2020.105830" @default.
• W3097546265 hasPublicationYear "2020" @default.
• W3097546265 type Work @default.
• W3097546265 sameAs 3097546265 @default.
• W3097546265 citedByCount "20" @default.
• W3097546265 countsByYear W30975462652021 @default.
• W3097546265 countsByYear W30975462652022 @default.
• W3097546265 countsByYear W30975462652023 @default.
• W3097546265 crossrefType "journal-article" @default.
• W3097546265 hasAuthorship W3097546265A5003416105 @default.
• W3097546265 hasAuthorship W3097546265A5016862420 @default.
• W3097546265 hasAuthorship W3097546265A5031355271 @default.
• W3097546265 hasAuthorship W3097546265A5044284871 @default.
• W3097546265 hasAuthorship W3097546265A5060331832 @default.
• W3097546265 hasAuthorship W3097546265A5076298659 @default.
• W3097546265 hasAuthorship W3097546265A5084377832 @default.
• W3097546265 hasConcept C119857082 @default.
• W3097546265 hasConcept C152565575 @default.
• W3097546265 hasConcept C153180895 @default.
• W3097546265 hasConcept C154945302 @default.
• W3097546265 hasConcept C162324750 @default.
• W3097546265 hasConcept C166957645 @default.
• W3097546265 hasConcept C187736073 @default.
• W3097546265 hasConcept C195807954 @default.
• W3097546265 hasConcept C202444582 @default.
• W3097546265 hasConcept C204321447 @default.
• W3097546265 hasConcept C205649164 @default.
• W3097546265 hasConcept C2778755073 @default.
• W3097546265 hasConcept C2779135771 @default.
• W3097546265 hasConcept C2779343474 @default.
• W3097546265 hasConcept C2780451532 @default.
• W3097546265 hasConcept C33923547 @default.
• W3097546265 hasConcept C41008148 @default.
• W3097546265 hasConcept C58640448 @default.
• W3097546265 hasConcept C81363708 @default.
• W3097546265 hasConcept C9652623 @default.
• W3097546265 hasConceptScore W3097546265C119857082 @default.
• W3097546265 hasConceptScore W3097546265C152565575 @default.
• W3097546265 hasConceptScore W3097546265C153180895 @default.
• W3097546265 hasConceptScore W3097546265C154945302 @default.
• W3097546265 hasConceptScore W3097546265C162324750 @default.
• W3097546265 hasConceptScore W3097546265C166957645 @default.
• W3097546265 hasConceptScore W3097546265C187736073 @default.
• W3097546265 hasConceptScore W3097546265C195807954 @default.
• W3097546265 hasConceptScore W3097546265C202444582 @default.
• W3097546265 hasConceptScore W3097546265C204321447 @default.
• W3097546265 hasConceptScore W3097546265C205649164 @default.
• W3097546265 hasConceptScore W3097546265C2778755073 @default.
• W3097546265 hasConceptScore W3097546265C2779135771 @default.
• W3097546265 hasConceptScore W3097546265C2779343474 @default.
• W3097546265 hasConceptScore W3097546265C2780451532 @default.
• W3097546265 hasConceptScore W3097546265C33923547 @default.
• W3097546265 hasConceptScore W3097546265C41008148 @default.
• W3097546265 hasConceptScore W3097546265C58640448 @default.
• W3097546265 hasConceptScore W3097546265C81363708 @default.
• W3097546265 hasConceptScore W3097546265C9652623 @default.
• W3097546265 hasFunder F4320335777 @default.
• W3097546265 hasLocation W30975462651 @default.
• W3097546265 hasOpenAccess W3097546265 @default.
• W3097546265 hasPrimaryLocation W30975462651 @default.
• W3097546265 hasRelatedWork W2063607036 @default.
• W3097546265 hasRelatedWork W2078793151 @default.
• W3097546265 hasRelatedWork W2806114307 @default.
• W3097546265 hasRelatedWork W2886890203 @default.
• W3097546265 hasRelatedWork W2947903144 @default.
• W3097546265 hasRelatedWork W3008870761 @default.
• W3097546265 hasRelatedWork W3128216712 @default.
• W3097546265 hasRelatedWork W3129597052 @default.
• W3097546265 hasRelatedWork W3136915866 @default.
• W3097546265 hasRelatedWork W4313594223 @default.
• W3097546265 hasVolume "179" @default.
• W3097546265 isParatext "false" @default.
• W3097546265 isRetracted "false" @default.

• next