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- W3108107668 abstract "This paper presents the Open Knowledge Extraction (OKE) tools combined with natural language analysis of the sentence in order to enrich the semantic of the legal knowledge extracted from legal text. In particular the use case is on international private law with specific regard to the Rome I Regulation EC 593/2008, Rome II Regulation EC 864/2007, and Brussels I bis Regulation EU 1215/2012. A Knowledge Graph (KG) is built using OKE and Natural Language Processing (NLP) methods jointly with the main ontology design patterns defined for the legal domain (e.g., event, time, role, agent, right, obligations, jurisdiction). Using critical questions, underlined by legal experts in the domain, we have built a question answering tool capable to support the information retrieval and to answer to these queries. The system should help the legal expert to retrieve the relevant legal information connected with topics, concepts, entities, normative references in order to integrate his/her searching activities." @default.
- W3108107668 created "2020-12-07" @default.
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- W3108107668 date "2020-12-01" @default.
- W3108107668 modified "2023-09-28" @default.
- W3108107668 title "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering" @default.
- W3108107668 doi "https://doi.org/10.3233/faia200858" @default.
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