Leveraging integrated learning for open-domain chinese named entity recognition

HIGHLIGHTS

• who: Entity Recognition and colleagues from the (UNIVERSITY) have published the article: Leveraging Integrated Learning for Open-Domain Chinese Named Entity Recognition, in the Journal: (JOURNAL)
• what: In this study, the word2vec is proposed to solve the data sparsity problem caused by high latitude vector space and enhance the semantic expression between features. The maximum value of the final sequence Y is obtained by decoding the algorithm, as shown in Eq . ′ Y=argmax S(X, y ) Output To determine the optimal parameters in the model, the maximum_likelihood estimation principle is used to optimize them and . . .
  

   

  

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