Abstract
Question-answering systems (QASs) aim to provide a relevant and concise answer to questions asked in natural language by a user. In this article, we describe our method of developing a question-answering system, operating in the legal domain in Morocco, which mostly uses the French and Arabic languages, and sometimes English. Its purpose is to give relevant and concise answers to questions in the legal domain, stated in natural language by a user, without him having to go through the legal documents to find an answer to his question. The implementation of the proposed system is based on three processes: the first process consists of modeling the legal domain knowledge by an ontology, both (i) independent of the language, and (ii) capable of supporting several languages. The second process consists of extracting the RDF triplet components from the user's question. The third process consists of reformulating the question by a SPARQL query(s) with which we can query the ontology and thus retrieve the appropriate answer to the question asked by the user.
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Kourtin, I., Mbarki, S., Mouloudi, A. (2021). A Legal Question Answering Ontology-Based System. In: Bekavac, B., Kocijan, K., Silberztein, M., Šojat, K. (eds) Formalising Natural Languages: Applications to Natural Language Processing and Digital Humanities. NooJ 2020. Communications in Computer and Information Science, vol 1389. Springer, Cham. https://doi.org/10.1007/978-3-030-70629-6_19
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