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Legal Text Recognition Using LSTM-CRF Deep Learning Model
In legal texts, named entity recognition (NER) is researched using deep learning models. First, the bidirectional (Bi)-long short-term memory (LSTM)-conditional random field (CRF) model for studying NER in legal texts is established. Second, different annotation methods are used to compare and analy...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947905/ https://www.ncbi.nlm.nih.gov/pubmed/35341203 http://dx.doi.org/10.1155/2022/9933929 |