For brevity, we omit the details of how we learn the syntax and mappings from semantics to words or phrases for new lexical entries, but these are borrowed from the existing techniques in UBL.
the focus on these datasets leads to a natural question -do other natural datasets have similar syntax and semantics, and if not, can existing algorithms handle the variability in syntax and semantics?