Communication Dans Un Congrès Année : 2018

A Chatbot Framework for the Children's Legal Centre

Jay Morgan
Adam Wyner
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Résumé

This paper presents a novel method to address legal rights for children through a chatbot framework by integrating machine learning, a dialogue graph, and information extraction. The method addresses a significant problem: we cannot presume that children have common knowledge about their rights or express themselves as an adult might. In our framework, a chatbot user begins a conversation, where based on the circumstance described, a neural network predicts both speech acts, relating to a dialogue graph, and legal types. Based on the legal types, relevant legal rights are returned to the user. Information is extracted throughout the conversation in order to create a case for a legal advisor. In collaboration with the Children's Legal Centre Wales, who advocate for the improvement and dissemination of legal rights in Wales, a corpus has been constructed and a prototype chatbot developed. The framework has been evaluated with classification measures and a user study. The framework can be extended and adapted to other domains.

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Dates et versions

hal-01878545 , version 1 (21-09-2018)
hal-01878545 , version 2 (25-10-2018)

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  • HAL Id : hal-01878545 , version 2

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Jay Morgan, Adeline Paiement, Monika Seisenberger, Jane Williams, Adam Wyner. A Chatbot Framework for the Children's Legal Centre. The 31st international conference on Legal Knowledge and Information Systems (JURIX), Dec 2018, Groningen, Netherlands. ⟨hal-01878545v2⟩
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