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Named entity recognition using Bi-LSTM model with pointer cascade conditional random field for selecting high-profit products

Named entity recognition (NER) refers to recognizing objects mentioned in texts and is considered one of the most fundamental tasks in natural language processing. The authentication of named entities is not merely a matter of extracting information independently. The rise of this sector has benefit...

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Uloženo v:
Hlavní autoři: C. Gayathri, Dr. R. Samson Ravindran
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2025-09-01
Edice:Egyptian Informatics Journal
Témata:
Word vector
NER
CCRF
Bi- LSTM
Pointer network
Feature extraction
On-line přístup:http://www.sciencedirect.com/science/article/pii/S1110866525000969
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