Complex edges

⚠️ Complex edges are available since version 1.2 (2019/03/26)

Motivation

Before version 1.2, label edges were atomic and didn’t have an internal structure. This was not very convenient to deal with complex edges:

In all these cases, with atomic edge labels, it is not possible to deal with one part of the label independently. Since version 1.2, the implementation of label edges has changed to tackle this problem.

Complex edges in graphs

In Grew graphs, an edge label is internally stored as a flat feature structure or, in other words, a finite set of couples (f_1,v_1)(f_k,v_k) where all f_i are pairwise different. We will use the traditional notation f=v for these couples.

In graph defined through CoNLL, we keep using the old syntax with symbols :and @ with an implicit conversion:

In Grew output, the reverse conversion is done. If the conversion is not possible, a bracketed view of the edge is displayed

The table below shows the conversion of the 3 initial examples and a case where the conversion fails (last line). Note that it is not possible to use a bracketed notation as an input file.

Internal representation Label used in CoNNL
1=suj, 2=obj suj:obj
1=aux, 2=pass aux:pass
1=compl, 2=obl, deep=agent compl:obl@agent
2=obl [2=obl]

Complex edges in patterns

In pattern, it is possible to match edges with a standard unification mechanism, similar to the one used for feature structures in nodes. Some examples (with SUD labels) are given below.

Syntax Description comp  comp:obl comp:obl@agent comp:aux comp:obj@lvc
X -[1=comp]-> Y any edge such that the feature 1 is defined with value comp YES YES YES YES YES
X -[1=comp, 2=obl¦aux]-> Y* the feature 1 is defined with value comp and the feature 2 is defined with one of the two values obl or aux NO YES YES YES NO
X -[1=comp, 2<>obl¦aux]-> Y* the feature 1 is defined with value comp and the feature 2 is defined with a value different from obl or aux NO NO NO NO YES
X -[1=comp, !deep]-> Y the feature 1 is defined with value comp and the feature deep is not defined YES YES NO YES NO
X -[1=comp, 2=*]-> Y the feature 1 is defined with value comp and the feature 2 is defined with any value NO YES YES YES YES
X -[comp]-> Y the exact label comp and nothing else YES NO NO NO NO

* replace the symbol ¦ by the pipe | symbol in Grew (the right symbol cannot be used in Markdown table!)

⚠️⚠️ Matching with atomic labels ⚠️⚠️

It is important to note that from the pattern point of view, the two clauses X -[1=comp]-> Y (first line in the table) and X -[comp]-> Y (last line in the table) are not equivalent!

Difference with node features matching

Note that we would expect that the syntax X -[1=comp, 2]-> Y should be equivalent to X -[1=comp, 2=*]-> Y but it will bring a ambiguity for X -[lab]-> Y that can be interpreted as the atomic label X -[lab]-> Y or as X -[lab=*]-> Y. To avoid this ambiguity, the syntax X -[1=comp, 2]-> Y in not allowed.

Complex edges in commands

In commands, it is possible to manipulate subpart of edges. If the pattern binds the identifier e to some edge (with the syntax e: X -[…]-> Y), the following commands can be used:

Note that, if the identifier e is used several times in the commands of a same rule, each occurrence refers to the “current” e edge eventually modified by previous commands.

Examples

Modify and copy an edge

Rule: mod_copy.grs:

rule mod_copy {
  pattern { e1: N -[1=X]-> M; M -> T }
  commands { e1.2 = U; add_edge e1: M -> T }
}

Command: grew transform -grs mod_copy.grs -strat "Onf(mod_copy)"

Input graph: mod_copy.gr

input output

Observe the difference if the two commands are swapped:

Rule: copy_mod.grs:

rule copy_mod {
  pattern { e1: N -[1=X]-> M; M -> T }
  commands { add_edge e1: M -> T; e1.2 = U }
}

Command: grew transform -grs copy_mod.grs -strat "Onf(copy_mod)"

Input graph: copy_mod.gr

input output

Reverse an edge

Rule: reverse.grs:

rule reverse {
  pattern { N -[X]-> M; e: N -[Y|Z]-> M }
  commands { add_edge e: M -> N; del_edge e; }
}

Command: grew transform -grs complex_edges.grs -strat "Onf(reverse)"

Input graph: reverse.gr

input output

By contrast, with the rule fail_reverse.grs:

rule fail_reverse {
  pattern { N -[X]-> M; e: N -[Y|Z]-> M }
  commands { del_edge e; add_edge e: M -> N }
}

the command grew transform -grs complex_edges.grs -strat "Onf(fail_reverse_YZ)" applied to the same graph produces the error:

[file: complex_edges.grs, line: 8] ADD_EDGE_EXPL: the edge identifier 'e' is undefined

The add_edge command cannot be executed because the edge e does not exist anymore. Note that with previous Grew versions, the rule fail_reverse_YZ can be applied and hence, it may be needed to update existing rule systems.

TODO in an upcoming release

Copy a feature value

rule copy_sub {
  pattern { e1: N -[1=X]-> M; e2: M -[!2]-> T }
  commands { e2.2 = e1.2 }
}