Bidirectional GRU Network

A Bidirectional Gated Recurrent Unit (GRU) Neural Network is a Bidirectional Neural Network that based on gated recurrent units.

• Example(s):
  • A Bidirectional GRU-RNN.
  • …
• Counter-Example(s):
  • a Bidirectional LSTM-RNN,
  • a Bidirectional Associative Memory (BAM) Network,
  • a DAG Recurrent Neural Network,
  • a Bidirectional LSTM-CRF.
• See: Recurrent Neural Network, Recursive Neural Network, Support Vector Machine, GRU, Long Short-Term Memory (LSTM) Network.

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References

2018a

• (Gu et al., 2018) ⇒ Shuqin Gu, Lipeng Zhang, Yuexian Hou and Yin Song (2018). "A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis". In: Proceedings of the 27th International Conference on Computational Linguistics (pp. 774-784).

2018b

• (Holmdahl, 2018) ⇒ Ryan L. Holmdahl. "Song Title Prediction with Bidirectional Recurrent Sequence Tagging". Retrieved:2018-10-15.

2016

• (Vukotic et al., 2016) ⇒ Vedran Vukotic, Christian Raymond, and Guillaume Gravier (2016). "A Step Beyond Local Observations with a Dialog Aware Bidirectional GRU Network for Spoken Language Understanding". INTERSPEECH. DOI:10.21437/Interspeech.2016-1301.

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