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Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters

2018-08-01 · Marc Velay, Fabrice Daniel

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.

📄 PDF Abstract BibTeX arXiv:1808.00423

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Tasks

ChatbotMulti-Task Learning

Methods 이 논문이 사용한 방법론

Sigmoid Activation 설명 없음
Tanh Activation 설명 없음
LSTM An LSTM is a type of recurrent neural network that addresses the vanishing gradient problem in vanilla…

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