NOTER_PAGE: (7 . 0.10883797054009821)
NOTER_PAGE: (7 . 0.22831423895253683)
NOTER_PAGE: (8 . 0.7561374795417349)
NOTER_PAGE: (12 . 0.19312602291325698)
NOTER_PAGE: (12 . 0.353518821603928)
This seems bad, I think. Ought to be agnostic
NOTER_PAGE: (12 . 0.524390243902439)
NOTER_PAGE: (17 . 0.2934451219512195)
NOTER_PAGE: (19 . 0.29573170731707316)
Note that the work described later in this paper was based on LegalRuleML, so it seems the authors like it
NOTER_PAGE: (19 . 0.3673780487804878)
NOTER_PAGE: (19 . 0.8460365853658537)
NOTER_PAGE: (25 . 0.4091653027823241)
NOTER_PAGE: (25 . 0.59328968903437)
NOTER_PAGE: (33 . 0.4026186579378069)