Biomedical named entity recognition based on fusion multi|features ...

Biomedical named entity recognition based on fusion multi-features ...

The proposed method has a positive effect on the prediction results. It comprehensively considers the relevant factors of named entity recognition because ...

Biomedical named entity recognition based on fusion multi-features ...

In this paper we proposed a method that fuses multi-feature embedding representations to represent words for named entity recognition in the biomedical domain.

Biomedical named entity recognition based on fusion multi-features ...

In this paper we proposed a method that fuses multi-feature embedding representations to represent words for named entity recognition in the biomedical domain.

Biomedical named entity recognition based on fusion multi-features ...

BioBBC: a multi-feature model that enhances the detection of biomedical entities ... The rapid increase in biomedical publications necessitates efficient systems ...

Biomedical named entity recognition based on multi-cross attention ...

Biomedical named entity recognition based on multi-cross attention feature fusion · 3.1. General architecture of the model. As shown in Fig 2, the model receives ...

Medical Named Entity Recognition Based on Multiple Features and ...

At the conclusion, the utilization of the dynamic fusion methodology is employed to accomplish the task of recognizing named entities, leveraging the ...

Medical Named Entity Recognition Based on Multi Feature Fusion of ...

In this method, text features are manually selected and input into the machine learning algorithm to classify the labels corresponding to each character in the ...

Biomedical named entity recognition based on fusion multi-features ...

CONCLUSION: The proposed method has a positive effect on the prediction results. It comprehensively considers the relevant factors of named entity recognition ...

Medical Named Entity Recognition Based on Multiple Features and ...

To achieve multi feature embedding, the word vector's semantic information is modeled using McBERT. In the feature extraction layer, long-distance inter- ...

Biomedical named entity recognition based on multi-cross ... - Matilda

Biomedical named entity recognition based on multi-cross attention feature fusion. ... features and character features) fusion separately. Then, the two feature ...

Named Entity Recognition From Biomedical Texts Using a Fusion ...

An attention-based BiLSTM-CRF model that can enhance the ability of the neural network to extract significant information and does not rely on any feature ...

Chinese Clinical Named Entity Recognition Using Multi-Feature ...

The model simultaneously fuses multi-feature representations of pinyin, radical, Part of Speech (POS), word boundary with BERT deep contextual ...

Chinese medical named entity recognition based on feature fusion ...

By utilizing multi-head biaffine transformations to construct span matrices and applying convolutional networks on each channel to fully model ...

Named Entity Recognition Model Based on Feature Fusion - MDPI

... features and enhance the ability of vector representation of text data. This paper proposes a named entity recognition method based on multi ...

CMLNER: Chinese medical literature named entity recognition ...

Results: Compared with traditional NER methods, the proposed model could more effectively capture rich medical semantic features, global context ...

A prefix and attention map discrimination fusion guided attention for ...

Biomedical named entity recognition (BioNER) is one of the key and fundamental tasks in biomedical text mining. It also acts as a primitive step ...

Chinese named entity recognition with multi-network fusion of multi ...

The techniques for NER can be classified into three categories: Rule-based methods, machine learning combined with statistical methods, and deep ...

Exploring Biomedical Named Entity Recognition via SciSpaCy and ...

4. “Biomedical named entity recognition based on fusion multi-features embedding”. Meijing Li, et al. [78] 2023.

Attention-based Multi-level Feature Fusion for Named Entity ... - IJCAI

However, methods based on character embeddings do not attach importance to word-level features, which may be biased as well. Recent advances in NER demonstrate ...

Review of Biomedical named entity recognition based on multi-cross ...

Dequan, Z., Rong, H., Feng, Y., Yannan, L. 2024. Biomedical named entity recognition based on multi-cross attention feature fusion. Plos One.