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Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition

In recent years, great success has been achieved in many tasks of natural language processing (NLP), e.g., named entity recognition (NER), especially in the high-resource language, i.e., English, thanks in part to the considerable amount of labeled resources. More labeled resources, better word repr...

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Principais autores: Shengfei Lyu, Linghao Sun, Huixiong Yi, Yong Liu, Huanhuan Chen, Chunyan Miao
Format: Artigo
Sprog:Inglês
Udgivet: Tsinghua University Press 2024-09-01
Serier:International Journal of Crowd Science
Fag:
named entity recognition (ner)
low-resource ner
converse attention network
knowledge transfer
transfer learning
Online adgang:https://www.sciopen.com/article/10.26599/IJCS.2023.9100014
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