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

Machine Learning 2018-08-02 v1 Computation and Language Machine Learning

Abstract

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.

Keywords

Cite

@article{arxiv.1808.00423,
  title  = {Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters},
  author = {Marc Velay and Fabrice Daniel},
  journal= {arXiv preprint arXiv:1808.00423},
  year   = {2018}
}
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