Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367298452> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W4367298452 endingPage "262" @default.
- W4367298452 startingPage "262" @default.
- W4367298452 abstract "Named entity recognition (NER) in a few-shot setting is an extremely challenging task, and most existing methods fail to account for the gap between NER tasks and pre-trained language models. Although prompt learning has been successfully applied in few-shot classification tasks, adapting to token-level classification similar to the NER task presents challenges in terms of time consumption and efficiency. In this work, we propose a decomposed prompt learning NER framework for few-shot settings, decomposing the NER task into two stages: entity locating and entity typing. In training, the location information of distant labels is used to train the entity locating model. A concise but effective prompt template is built to train the entity typing model. In inference, a pipeline approach is used to handle the entire NER task, which elegantly resolves time-consuming and inefficient problems. Specifically, a well-trained entity locating model is used to predict entity spans for each input. The input is then transformed using prompt templates, and the well-trained entity typing model is used to predict their types in a single step. Experimental results demonstrate that our framework outperforms previous prompt-based methods by an average of 2.3–12.9% in F1 score while achieving the best trade-off between accuracy and inference speed." @default.
- W4367298452 created "2023-04-29" @default.
- W4367298452 creator A5008324681 @default.
- W4367298452 creator A5052302161 @default.
- W4367298452 creator A5075538786 @default.
- W4367298452 creator A5080021054 @default.
- W4367298452 date "2023-04-28" @default.
- W4367298452 modified "2023-10-16" @default.
- W4367298452 title "Decomposed Two-Stage Prompt Learning for Few-Shot Named Entity Recognition" @default.
- W4367298452 cites W2144578941 @default.
- W4367298452 cites W2891383691 @default.
- W4367298452 cites W2904415434 @default.
- W4367298452 cites W2953010755 @default.
- W4367298452 cites W2979826702 @default.
- W4367298452 cites W2997124358 @default.
- W4367298452 cites W3034999214 @default.
- W4367298452 cites W3035044482 @default.
- W4367298452 cites W3044438666 @default.
- W4367298452 cites W3098267758 @default.
- W4367298452 cites W3103981637 @default.
- W4367298452 cites W3105470358 @default.
- W4367298452 cites W3153427360 @default.
- W4367298452 cites W3166846774 @default.
- W4367298452 cites W3172642864 @default.
- W4367298452 cites W3173777717 @default.
- W4367298452 cites W3174770825 @default.
- W4367298452 cites W3175234986 @default.
- W4367298452 cites W3176489198 @default.
- W4367298452 cites W3198490223 @default.
- W4367298452 cites W3199289866 @default.
- W4367298452 cites W3200209027 @default.
- W4367298452 cites W3201983976 @default.
- W4367298452 cites W3212769596 @default.
- W4367298452 cites W4205991051 @default.
- W4367298452 cites W4224095956 @default.
- W4367298452 cites W4285114721 @default.
- W4367298452 cites W4287855168 @default.
- W4367298452 cites W4309811444 @default.
- W4367298452 doi "https://doi.org/10.3390/info14050262" @default.
- W4367298452 hasPublicationYear "2023" @default.
- W4367298452 type Work @default.
- W4367298452 citedByCount "1" @default.
- W4367298452 countsByYear W43672984522023 @default.
- W4367298452 crossrefType "journal-article" @default.
- W4367298452 hasAuthorship W4367298452A5008324681 @default.
- W4367298452 hasAuthorship W4367298452A5052302161 @default.
- W4367298452 hasAuthorship W4367298452A5075538786 @default.
- W4367298452 hasAuthorship W4367298452A5080021054 @default.
- W4367298452 hasBestOaLocation W43672984521 @default.
- W4367298452 hasConcept C119857082 @default.
- W4367298452 hasConcept C154945302 @default.
- W4367298452 hasConcept C162324750 @default.
- W4367298452 hasConcept C187736073 @default.
- W4367298452 hasConcept C199360897 @default.
- W4367298452 hasConcept C204321447 @default.
- W4367298452 hasConcept C2776214188 @default.
- W4367298452 hasConcept C2779135771 @default.
- W4367298452 hasConcept C2780451532 @default.
- W4367298452 hasConcept C38652104 @default.
- W4367298452 hasConcept C41008148 @default.
- W4367298452 hasConcept C43521106 @default.
- W4367298452 hasConcept C4554734 @default.
- W4367298452 hasConcept C48145219 @default.
- W4367298452 hasConcept C96711827 @default.
- W4367298452 hasConceptScore W4367298452C119857082 @default.
- W4367298452 hasConceptScore W4367298452C154945302 @default.
- W4367298452 hasConceptScore W4367298452C162324750 @default.
- W4367298452 hasConceptScore W4367298452C187736073 @default.
- W4367298452 hasConceptScore W4367298452C199360897 @default.
- W4367298452 hasConceptScore W4367298452C204321447 @default.
- W4367298452 hasConceptScore W4367298452C2776214188 @default.
- W4367298452 hasConceptScore W4367298452C2779135771 @default.
- W4367298452 hasConceptScore W4367298452C2780451532 @default.
- W4367298452 hasConceptScore W4367298452C38652104 @default.
- W4367298452 hasConceptScore W4367298452C41008148 @default.
- W4367298452 hasConceptScore W4367298452C43521106 @default.
- W4367298452 hasConceptScore W4367298452C4554734 @default.
- W4367298452 hasConceptScore W4367298452C48145219 @default.
- W4367298452 hasConceptScore W4367298452C96711827 @default.
- W4367298452 hasFunder F4320321001 @default.
- W4367298452 hasIssue "5" @default.
- W4367298452 hasLocation W43672984521 @default.
- W4367298452 hasOpenAccess W4367298452 @default.
- W4367298452 hasPrimaryLocation W43672984521 @default.
- W4367298452 hasRelatedWork W2394964483 @default.
- W4367298452 hasRelatedWork W2405038964 @default.
- W4367298452 hasRelatedWork W2593907245 @default.
- W4367298452 hasRelatedWork W2899463504 @default.
- W4367298452 hasRelatedWork W2952732525 @default.
- W4367298452 hasRelatedWork W2963217253 @default.
- W4367298452 hasRelatedWork W3174068771 @default.
- W4367298452 hasRelatedWork W3216747561 @default.
- W4367298452 hasRelatedWork W4221163587 @default.
- W4367298452 hasRelatedWork W5053386 @default.
- W4367298452 hasVolume "14" @default.
- W4367298452 isParatext "false" @default.
- W4367298452 isRetracted "false" @default.
- W4367298452 workType "article" @default.