Forward-Looking Element Recognition Based on the LSTM-CRF Model with the Integrity Algorithm
Forward-Looking Element Recognition Based on the LSTM-CRF Model with the Integrity Algorithm
About this item
Full title
Author / Creator
Xu, Dong , Ge, Ruping and Niu, Zhihua
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
A state-of-the-art entity recognition system relies on deep learning under data-driven conditions. In this paper, we combine deep learning with linguistic features and propose the long short-term memory-conditional random field model (LSTM-CRF model) with the integrity algorithm. This approach is primarily based on the use of part-of-speech (POS) s...
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Full title
Forward-Looking Element Recognition Based on the LSTM-CRF Model with the Integrity Algorithm
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2231497943
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2231497943
Other Identifiers
ISSN
1999-5903
E-ISSN
1999-5903
DOI
10.3390/fi11010017
