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NómosT: Building large models of law with a tool- ...
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由 N Zeni 著作2018被引用 19 次 — This paper studies the feasibility of building such conceptual models of law semi-automatically by using a systematic, tool-supported process.
Building large models of law with a tool-supported process
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由 N Zeni 著作2018被引用 19 次 — This paper studies the feasibility of building such conceptual models of law semi-automatically by using a systematic, tool-supported process. In particular, we ...
Building large models of law with a tool-supported process
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2024年10月22日 — This paper studies the possibility of building models of law semi-automatically by using the NómosT tool. Specifically, we present the NómosT ...
Building large models of law with a tool-supported process
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This work targets the extraction and understanding of informative events and stories from textual artifacts that describe the interaction between software ...
Building Large Models of Law with NómosT | Request PDF
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2024年10月22日 — This paper studies the possibility of building models of law semi-automatically by using the NómosT tool. Specifically, we present the NómosT ...
Building Large Models of Law with NómosT
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2016年10月7日 — This paper studies the possibility of building models of law semi-automatically by using the NómosT tool. Specifically, we present the NómosT ...
Building large models of law with a tool-supported process
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NómosT: Building large models of law with a tool-supported process ; Journal: Data & Knowledge Engineering, 2018, p. 407-418 ; Publisher: Elsevier BV ; Authors ...
Building Large Models of Law with a Tool-Supported Process
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由 N Zeni 著作2018被引用 19 次 — This paper studies the possibility of building models of law semi-automatically by using the NómosT tool. Specifically, we present the NómosT architecture and ...
Elias A. Seid
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2024年4月25日 — John Mylopoulos: NómosT: Building large models of law with a tool-supported process. Data Knowl. Eng. 117: 407-418 (2018); 2017. [c2]. view.
Nicola Zeni
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NómosT: building large models of law with a tool-supported process. N Zeni, EA Seid, P Engiel, J Mylopoulos. Data & Knowledge Engineering 117, 407-418, 2018.