Understand
This study evaluates the performances of an LSTM network for detecting and extracting the intent and content of com- mands for a financial chatbot.
- It presents two techniques, sequence to sequence learning and Multi-Task Learning, which might improve on the previous task.
Built on
J. Huang et al (2013) Cross-Language knowledge transfer using multilingual deep neural network with shared hidden layers
2013
Earlier work this paper cites.
B. Liu & I. Lane (2016) Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
2016
Earlier work this paper cites.
Similar
JK. Kim et al (2016) Intent detection using semantically enriched word embeddings
2016
Cited alongside, same era.
D. Golub & X. He (2016) Character-Level Question Answering with Attention
2016
Cited alongside, same era.
Then
J. Wang & L. Perez (2017) The Effectiveness of Data Augmentation in Image Classification using Deep Learning
2017
Later among the works it cites.
S. Ruder (2017) An Overview of Multi-Task Learning in Deep Neural Networks
2017
Later among the works it cites.
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