Abstract: Current approaches for identifying statute facets consider facet type similar to rhetorical roles defined for statute text. However, the nature and content of statutes are quite different from court judgements and established set of rhetorical roles for court judgements are either not applicable for statutes or not sufficient to cover all the key aspects in statutes. Present disclosure provides method and system for extraction and classification of statute facets from legal statutes. The system first takes text of a statute as input. The system then automatically extracts candidate statute facets from statute text using dependency structure and then computes statute specificity for candidate statute facets. Thereafter, the system classifies candidate statute facets into facet types using weak supervision for validation purpose.

Abstract: Current approaches for identifying statute facets consider facet type similar to rhetorical roles defined for statute text. However, the nature and content of statutes are quite different from court judgements and established set of rhetorical roles for court judgements are either not applicable for statutes or not sufficient to cover all the key aspects in statutes. Present disclosure provides method and system for extraction and classification of statute facets from legal statutes. The system first takes text of a statute as input. The system then automatically extracts candidate statute facets from statute text using dependency structure and then computes statute specificity for candidate statute facets. Thereafter, the system classifies candidate statute facets into facet types using weak supervision for validation purpose.