As the prevalence of social media on the Internet, opinion mining has become an essential
approach to analyzing so many data. Various applications appear in a wide range of …

A bottleneck problem with Chinese named entity recognition (NER) in new domains is the
lack of annotated data. One solution is to utilize the method of distant supervision, which has …

Most previous approaches to Chinese word segmentation formalize this problem as a
character-based sequence labeling task where only contextual information within fixed sized …

Chinese word segmentation (CWS) and part-of-speech (POS) tagging are important
fundamental tasks for Chinese language processing, where joint learning of them is an …

Traditional syntax models typically leverage part-of-speech (POS) information by
constructing features from hand-tuned templates. We demonstrate that a better approach is …

In recent years, deep neural networks have achieved significant success in Chinese word
segmentation and many other natural language processing tasks. Most of these algorithms …

Chinese word segmentation (CWS) and part-of-speech (POS) tagging are two fundamental
tasks for Chinese language processing. Previous studies have demonstrated that jointly …

In this paper, we introduce a new approach for joint segmentation, POS tagging and
dependency parsing. While joint modeling of these tasks addresses the issue of error …

Chinese word segmentation and dependency parsing are two fundamental tasks for
Chinese natural language processing. The dependency parsing is defined at the word-level …

We present a novel neural network model that learns POS tagging and graph-based
dependency parsing jointly. Our model uses bidirectional LSTMs to learn feature …