247 citations · 387 across the 42 of their papers we have counts for
5 papers · 1 filter
TENER: Adapting Transformer Encoder for Named Entity Recognition
Hang Yan, Bocao Deng, Xiaonan Li +1
The Bidirectional long short-term memory networks (BiLSTM) have been widely used as an encoder in models solving the named entity recognition (NER) task. Recently, the Transformer…
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features
Tao Gui, Lizhi Qing, Qi Zhang +4
Multi-task learning (MTL) has received considerable attention, and numerous deep learning applications benefit from MTL with multiple objectives. However, constructing multiple rel…
Learning Sparse Sharing Architectures for Multiple Tasks
Tianxiang Sun, Yunfan Shao, Xiaonan Li +4
Most existing deep multi-task learning models are based on parameter sharing, such as hard sharing, hierarchical sharing, and soft sharing. How choosing a suitable sharing mechanis…
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder
Xipeng Qiu, Hengzhi Pei, Hang Yan +1
Multi-criteria Chinese word segmentation (MCCWS) aims to exploit the relations among the multiple heterogeneous segmentation criteria and further improve the performance of each si…
A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing
Hang Yan, Xipeng Qiu, Xuanjing Huang
Chinese word segmentation and dependency parsing are two fundamental tasks for Chinese natural language processing. The dependency parsing is defined on word-level. Therefore word…