Chinese Named Entity Recognition with Graph-based Semi-supervised Learning Model

Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text

Named entity recognition is a challenging task in Natural Language Processing, especially for informal and noisy social media text. Chinese word boundaries are also entity boundaries, therefore, named entity recognition …

Gated Graph Sequence Neural Networks for Chinese Healthcare Named Entity Recognition

基於圖神經網路之中文健康照護命名實體辨識 (Chinese Healthcare Named Entity Recognition Based on Graph Neural Networks)

Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition

In comparison with English, due to the lack of explicit word boundary and tenses information, Chinese Named Entity Recognition (NER) is much more challenging. In this paper, we propose a boundary enhanced approach for be…

F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media

We focus on named entity recognition (NER) for Chinese social media. With massive unlabeled text and quite limited labelled corpus, we propose a semi-supervised learning model based on B-LSTM neural network. To take adva…