Its results were only slightly less good than those of stand alone GEN. To further investigate comparisons between different architectures for solving the attachment problem, we compared various local models extended with the MS-DAG decoding algorithm discussed in Section 5, giving the global results shown in the righthand columns of Tables 3 and  4.
we include LFs are expert-composed functions that make an attachment prediction for a given candidate: each LF returns a 1, a 0 or a -1 ("attached"/"do not know"/"not attached") for each candidate.