Exact(7)
There are some relation phrase datasets, such as Patty [19] and ReVerb [13] that can be used for this purpose.
Each relation phrase (rel_{overline{v_iv_j}}) (in edge (overline{v_iv_j}) of (Q^mathrm{S})) is also mapped to a list of candidate predicates and predicate paths.
(Semantic Relation) A semantic relation is a three-tuple (langle rel, arg1,aranglengle), where rel is a relation phrase in the paraphrase dictionary D, arg1 and arg2 are the two argument phrases.
In the running example of Fig. 9, (langle)"be married to," "who," "actor"(rangle) is a semantic relation, in which "be married to" is a relation phrase, "who" and "actor" are its associated arguments.
(Semantic Query Graph) A semantic query graph, denoted as (Q^mathrm{S}), is a graph in which each vertex (v_i) is associated with an argument and each edge (overline{v_iv_j}) is associated with a relation phrase, (1le i,j le |V(Q^mathrm{S})|).
The goal of an Open IE system is to obtain the largest number of correct triples (arg1, rel, arg2) for any relation in the text, where arg1 and arg2 are the arguments of the relation and rel is a relation phrase.
Similar(53)
Table 6 Comparison between assessment rounds: triples and relation phrases First round Second round Triples 311 2,359 Relation phrases 119 87119
We propose a graph mining algorithm to align these relation phrases with the corresponding predicates.
To enable the semantic relation extraction from N, we build a paraphrase dictionary D to match relation phrases with predicates.
In the offline phase, we build a paraphrase dictionary D, which records the semantic equivalence between relation phrases and predicates.
Regarding the relation phrases inside the tuples, LSOE learned 119 different types, as presented in Table 6.
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