A Semi-shared Hierarchical Joint Model for Sequence Labeling

Author:

Gongshen Liu1,Wei Du1,Jie Zhou1,Jing Li2,Jie Cheng2

Affiliation:

1. School of Cyber Science and Engineering, Shanghai Jiao Tong University,Shanghai,China,200240

2. State Grid Information & Telecommunication Branch,Beijing,China,100761

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Reference42 articles.

1. A joint model of named entity recognition and coreference resolution based on hybrid neural network;gao;Acta Electronica Sinica,2020

2. Multi-Task Networks with Universe, Group, and Task Feature Learning

3. Exploring shared structures and hierarchies for multiple NLP tasks;chen;Arxiv preprint arXiv,2018

4. Bidirectional LSTM-CRF models for sequence tagging;huang;Arxiv preprint arXiv,2015

5. Rectifier nonlinearities improve neural network acoustic models;maas;Proceedings of the 30th International Conference on Machine Learning,2013

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