4.7 Article

Robust triple extraction with cascade bidirectional capsule network

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Joint entity and relation extraction model based on rich semantics

Zhiqiang Geng et al.

Summary: The novel method integrating convolutional and recurrent neural networks with attention mechanism achieves joint entity and relation extraction, encoding rich semantics efficiently and taking full advantage of the associated information between entities and relations. Experimental results demonstrate that the proposed method outperforms current pipe-lined and joint approaches in terms of standard F1-score.

NEUROCOMPUTING (2021)

Article Computer Science, Information Systems

Semantic relation extraction using sequential and tree-structured LSTM with attention

ZhiQiang Geng et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Information Systems

An asymmetric knowledge representation learning in manifold space

Yongming Han et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Artificial Intelligence

Joint entity recognition and relation extraction as a multi-head selection problem

Giannis Bekoulis et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)