A Multi-Attention Approach Using BERT and Stacked Bidirectional LSTM for Improved Dialogue State Tracking

A Multi-Attention Approach Using BERT and Stacked Bidirectional LSTM for Improved Dialogue State Tracking

The modern digital world and associated innovative and state-of-the-art applications that characterize its presence, render the current digital age a captivating era for many worldwide. These innovations include dialogue systems, such as Apple’s Siri, Google Now, and Microsoft’s Cortana, that stay o...

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Bibliographic Details
Main Authors: Muhammad Asif Khan, Yi Huang, Junlan Feng, Bhuyan Kaibalya Prasad, Zafar Ali, Irfan Ullah, Pavlos Kefalas
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
dialogue state tracking
attention mechanism
stacked BiLSTM
spoken dialogue systems
BERT
classification problem
Online Access:https://www.mdpi.com/2076-3417/13/3/1775

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