May 15, 2019 · We investigate a new dynamic meta-embeddings method and apply it to Chinese NER task, which utilizes attention mechanism to combine features of both character ...

This work investigates a new dynamic meta-embeddings method and applies it to Chinese NER task, which utilizes attention mechanism to combine features of both ...

In this paper, we propose a multi-granularity information fusion model (MIFM) for the Chinese NER task. We introduce a novel multi-granularity embedding layer ...

May 30, 2019 · In this paper, we propose a new dynamic meta-embeddings method and use it into Chinese NER task with a bidirectional. LSTM-CRF structure.

Zhang et al. [25] investigated a dynamic metaembeddings method and applied it to Chinese NER task. They utilized the attention mechanism to combine features of ...

We propose a new dynamic embedding method to deal with word segmentation problem for NER. We consider the work of Domain-specific knowledge in embedding layer.

We propose a Chinese NER model that combines character contextual representation and glyph representation, named CGR-NER (Character–Glyph Representation for ...

Integrating lexicon knowledge into character-based methods can improve the performance of neural network models for. Chinese named entity recognition (NER).

Jul 10, 2024 · Finally, we design three different MVT variants to fuse the multi-view features at different levels of the Transformer architecture.

Mar 12, 2024 · The advantage of this approach lies in its ability to automatically capture entity boundaries without the need for predefined tagging schemes.