Legalbot: A Deep Learning-Based Conversational Agent in the Legal Domain

  • Adebayo Kolawole John
  • Luigi Di Caro
  • Livio Robaldo
  • Guido Boella
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10260)

Abstract

This paper presents a deep learning based dialogue system which has been trained to answer user queries posed as questions during a conversation. The proposed system, though generative, takes advantage of domain specific knowledge for generating valid answers. The evaluation analysis shows that the proposed system obtained a promising result.

Keywords

Recurrent neural networks Long short-term memory Chatbot Conversational agent 
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Notes

Acknowledgments

Kolawole J. Adebayo has received funding from the Erasmus Mundus Joint International Doctoral (Ph.D.) programme in Law, Science and Technology. Luigi Di Caro have received funding from the European Union’s H2020 research and innovation programme under the grant agreement No 690974 for the project “MIREL: MIning and REasoning with Legal texts”.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Adebayo Kolawole John
    • 1
  • Luigi Di Caro
    • 1
  • Livio Robaldo
    • 1
  • Guido Boella
    • 1
  1. 1.Dipartimento di InformaticaUniversita Di TorinoTorinoItaly

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