Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380434564> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4380434564 endingPage "46" @default.
- W4380434564 startingPage "33" @default.
- W4380434564 abstract "Few-shot named entity recognition (NER) aims to leverage a small number of labeled examples to extract novel-class named entities from unstructured text. Although existing few-shot NER methods, such as ESD and DecomposedMetaNER, are effective, they are quite complex and not efficient, which makes them unsuitable for real-world applications when the prediction time is a critical factor. In this paper, we propose a simple span-based prototypical framework that follows the metric-based meta-learning paradigm and does not require time-consuming fine-tuning. In addition, the BERT encoding process in our model can be pre-computed and cached, making the final inference process even faster. Experiment results show that, compared with the state-of-the-art models, the proposed framework can achieve comparable effectiveness with much better efficiency." @default.
- W4380434564 created "2023-06-14" @default.
- W4380434564 creator A5046565976 @default.
- W4380434564 creator A5046865554 @default.
- W4380434564 date "2023-01-01" @default.
- W4380434564 modified "2023-09-28" @default.
- W4380434564 title "Less is More: A Prototypical Framework for Efficient Few-Shot Named Entity Recognition" @default.
- W4380434564 cites W2904415434 @default.
- W4380434564 cites W2905471643 @default.
- W4380434564 cites W2908989331 @default.
- W4380434564 cites W2964105864 @default.
- W4380434564 cites W2964271799 @default.
- W4380434564 cites W2964864162 @default.
- W4380434564 cites W3034861800 @default.
- W4380434564 cites W3034949140 @default.
- W4380434564 cites W3035044482 @default.
- W4380434564 cites W3035375600 @default.
- W4380434564 cites W3105470358 @default.
- W4380434564 cites W3168661259 @default.
- W4380434564 cites W3176489198 @default.
- W4380434564 cites W3176549752 @default.
- W4380434564 cites W3177191283 @default.
- W4380434564 cites W3177312484 @default.
- W4380434564 cites W3186405834 @default.
- W4380434564 cites W3200209027 @default.
- W4380434564 cites W3200787399 @default.
- W4380434564 cites W3201983976 @default.
- W4380434564 cites W3207474960 @default.
- W4380434564 cites W3212769596 @default.
- W4380434564 cites W4224095956 @default.
- W4380434564 cites W4283729620 @default.
- W4380434564 doi "https://doi.org/10.1007/978-3-031-35320-8_3" @default.
- W4380434564 hasPublicationYear "2023" @default.
- W4380434564 type Work @default.
- W4380434564 citedByCount "0" @default.
- W4380434564 crossrefType "book-chapter" @default.
- W4380434564 hasAuthorship W4380434564A5046565976 @default.
- W4380434564 hasAuthorship W4380434564A5046865554 @default.
- W4380434564 hasConcept C115537543 @default.
- W4380434564 hasConcept C119857082 @default.
- W4380434564 hasConcept C124101348 @default.
- W4380434564 hasConcept C153083717 @default.
- W4380434564 hasConcept C154945302 @default.
- W4380434564 hasConcept C162324750 @default.
- W4380434564 hasConcept C173608175 @default.
- W4380434564 hasConcept C176217482 @default.
- W4380434564 hasConcept C187736073 @default.
- W4380434564 hasConcept C199360897 @default.
- W4380434564 hasConcept C204321447 @default.
- W4380434564 hasConcept C21547014 @default.
- W4380434564 hasConcept C2776214188 @default.
- W4380434564 hasConcept C2779135771 @default.
- W4380434564 hasConcept C2780451532 @default.
- W4380434564 hasConcept C41008148 @default.
- W4380434564 hasConcept C4554734 @default.
- W4380434564 hasConcept C96711827 @default.
- W4380434564 hasConcept C98045186 @default.
- W4380434564 hasConceptScore W4380434564C115537543 @default.
- W4380434564 hasConceptScore W4380434564C119857082 @default.
- W4380434564 hasConceptScore W4380434564C124101348 @default.
- W4380434564 hasConceptScore W4380434564C153083717 @default.
- W4380434564 hasConceptScore W4380434564C154945302 @default.
- W4380434564 hasConceptScore W4380434564C162324750 @default.
- W4380434564 hasConceptScore W4380434564C173608175 @default.
- W4380434564 hasConceptScore W4380434564C176217482 @default.
- W4380434564 hasConceptScore W4380434564C187736073 @default.
- W4380434564 hasConceptScore W4380434564C199360897 @default.
- W4380434564 hasConceptScore W4380434564C204321447 @default.
- W4380434564 hasConceptScore W4380434564C21547014 @default.
- W4380434564 hasConceptScore W4380434564C2776214188 @default.
- W4380434564 hasConceptScore W4380434564C2779135771 @default.
- W4380434564 hasConceptScore W4380434564C2780451532 @default.
- W4380434564 hasConceptScore W4380434564C41008148 @default.
- W4380434564 hasConceptScore W4380434564C4554734 @default.
- W4380434564 hasConceptScore W4380434564C96711827 @default.
- W4380434564 hasConceptScore W4380434564C98045186 @default.
- W4380434564 hasLocation W43804345641 @default.
- W4380434564 hasOpenAccess W4380434564 @default.
- W4380434564 hasPrimaryLocation W43804345641 @default.
- W4380434564 hasRelatedWork W2251316131 @default.
- W4380434564 hasRelatedWork W2338846265 @default.
- W4380434564 hasRelatedWork W2405038964 @default.
- W4380434564 hasRelatedWork W2593907245 @default.
- W4380434564 hasRelatedWork W266446692 @default.
- W4380434564 hasRelatedWork W2884171112 @default.
- W4380434564 hasRelatedWork W3002472320 @default.
- W4380434564 hasRelatedWork W4226436348 @default.
- W4380434564 hasRelatedWork W4294766287 @default.
- W4380434564 hasRelatedWork W5053386 @default.
- W4380434564 isParatext "false" @default.
- W4380434564 isRetracted "false" @default.
- W4380434564 workType "book-chapter" @default.