- Enhanced Named Entity Recognition Based on Multi|Feature Fusion ...🔍
- Multimodal Features Enhanced Named Entity Recognition Based on ...🔍
- Biomedical named entity recognition based on fusion multi|features ...🔍
- Named entity recognition in aerospace based on multi|feature fusion ...🔍
- A method for named entity recognition in social media texts with ...🔍
- Chinese named entity recognition with multi|network fusion of multi ...🔍
- Chinese Named Entity Recognition method based on multi|feature ...🔍
- Research on Multi|Model Fusion for Named Entity Recognition ...🔍
Enhanced Named Entity Recognition Based on Multi|Feature Fusion ...
Enhanced Named Entity Recognition Based on Multi-Feature Fusion ...
Traditional NER methods, however, often fall short in providing sufficient semantic representation of text and preserving word order information. Addressing ...
Enhanced Named Entity Recognition Based on Multi-Feature Fusion ...
Khadka, “Enhanced Named Entity Recognition based on multi-feature fusion using dual Graph Neural Networks,” Acadlore Trans. Mach. Learn., vol. 3 ...
Enhanced Named Entity Recognition Based on Multi-Feature Fusion ...
(DOI: 10.56578/ataiml030202) Named Entity Recognition (NER), a pivotal task in information extraction, is aimed at identifying named entities of various ...
Multimodal Features Enhanced Named Entity Recognition Based on ...
A multimodal Chinese NER model based on self-attention mechanism named MNER is proposed, which consists of a multimodal feature fusion module and an entity ...
Biomedical named entity recognition based on fusion multi-features ...
The study goal is to recognize biomedical entities effectively by fusing multi-feature embedding. Multiple features provide more comprehensive information.
Named entity recognition in aerospace based on multi-feature fusion ...
In our model, the double Feed-forward Neural Network is exploited as well to ensure MFT better performance. We use our aerospace dataset to ...
A method for named entity recognition in social media texts with ...
A method for named entity recognition in social media texts with syntactically enhanced multiscale feature fusion ... multi-scale local feature ...
Biomedical named entity recognition based on fusion multi-features ...
OBJECTIVE: The study goal is to recognize biomedical entities effectively by fusing multi-feature embedding. Multiple features provide more comprehensive ...
Chinese named entity recognition with multi-network fusion of multi ...
... feature fusion to enhance the accuracy of CNER. 2.2. CNER with multi-feature fusion. Based on pre-trained models, multi-feature fusion is ...
Chinese Named Entity Recognition method based on multi-feature ...
The method proposed in this study integrates multi-feature fusion and biaffine model. The initial pretrained language model, known as “Bert-base ...
Research on Multi-Model Fusion for Named Entity Recognition ...
T-NER is a transfer learning based on parameter sharing, which uses the model to train the richly labeled corpora in the source domain.
Enhanced Chinese Named Entity Recognition with Transformer ...
Enhanced Chinese Named Entity Recognition with Transformer-Based Multi-feature Fusion ... Based Multi-feature Fusion. Pages 132 - 141 ...
Named Entity Recognition Model Based on Feature Fusion - MDPI
... enhance the ability of vector representation of text data. This paper proposes a named entity recognition method based on multi-head ...
This is an implementation of the paper: Attention-based Multi-level Feature Fusion for Named Entity Recognition. Intuitively, multi-level features can be ...
Biomedical named entity recognition based on multi-cross attention ...
This paper proposes a method of multi-cross attention feature fusion. First, DistilBioBERT and CharCNN and CharLSTM are used to perform cross-attention word- ...
Chinese Clinical Named Entity Recognition Using Multi-Feature ...
We propose an improved CNER model, which is based on multi-feature fusion and multi-scale local context enhancement.
Biomedical named entity recognition based on multi-cross attention ...
Biomedical named entity recognition based on multi-cross attention feature fusion ... multi-head attention mechanism to enhance the model's ...
Biomedical named entity recognition based on fusion multi-features ...
Our proposed model consists of two main components: (i) Multi-Feature Representation layer for enhancing the semantic information, (ii) ...
Enhanced Chinese Named Entity Recognition with Transformer ...
Enhanced Chinese Named Entity Recognition with Transformer-Based Multi-feature Fusion. Conference paper; First Online: 13 August 2024. pp 132 ...
[PDF] Attention-based Multi-level Feature Fusion for Named Entity ...
Attention-based Multi-level Feature Fusion for Named Entity Recognition ... A Global Context enhanced Deep Transition architecture for sequence labeling named ...