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Automated Extraction of Semantic Legal Metadata using Natural Language Processing
2018
2018 IEEE 26th International Requirements Engineering Conference (RE)
Context] Semantic legal metadata provides information that helps with understanding and interpreting the meaning of legal provisions. Such metadata is important for the systematic analysis of legal requirements. [Objectives] Our work is motivated by two observations: (1) The existing requirements engineering (RE) literature does not provide a harmonized view on the semantic metadata types that are useful for legal requirements analysis. (2) Automated support for the extraction of semantic legal
doi:10.1109/re.2018.00022
dblp:conf/re/SleimiSSBD18
fatcat:z2q5gaic2vhvtplgzmdqjm7zlu