2018
ACL
ACL 2018
Named Entity Recognition With Parallel Recurrent Neural Networks
Abstract
AbstractWe present a new architecture for named entity recognition. Our model employs multiple independent bidirectional LSTM units across the same input and promotes diversity among them by employing an inter-model regularization term. By distributing computation across multiple smaller LSTMs we find a significant reduction in the total number of parameters. We find our architecture achieves state-of-the-art performance on the CoNLL 2003 NER dataset.
🌉
Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing
Authors
Topics
Machine Learning > Core Methods > Classification
Deep Learning > Architectures > Neural Networks
Deep Learning > Techniques > Model Architecture
Natural Language Processing > Understanding > Named Entity Recognition
Deep Learning > Learning Types > Deep Learning
Deep Learning > Architectures > Recurrent Neural Networks