A key problem in semantic parsing with graph-based semantic representations is graph parsing, i.e. computing all possible analyses of a given graph according to a grammar. This problem arises in training synchronous string-To-graph grammars, and when generating strings from them. We present two algorithms for graph parsing (bottom-up and top-down) with s-graph grammars. On the related problem of graph parsing with hyperedge replacement grammars, our implementations outperform the best previous system by several orders of magnitude.10 page(s
Graph grammars may be used as natural and powerful syntax-definition formalisms for visual programmi...
Further results of research into graph grammar parsing for syntactic pattern recognition (Pattern Re...
Abstract: This paper proposes an edge-based context-sensitive graph grammar formalism with a concen...
Directed graphs are an intuitive and versatile representation of natural language meaning because th...
Graph parsing is known to be computationally expensive. For this reason the construction of special-...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
The field of semantic modelling concerns formal models for semantics, that is, formal structures for...
Thesis (Ph. D.)--University of Rochester. Department of Computer Science, 2018.In recent years, ther...
The parsing problem is one of the key problems of graph grammars. The typical parsing algorithm uses...
Hyperedge replacement grammar (HRG) is a formalism for generating and transforming graphs that has p...
AbstractIn the first half of this paper, we give an introductory survey on graph grammars that provi...
With the abundance of large sets of relational data, methods for analyzing and providing a compact r...
In this paper, we suggest a class of (attributed) expansive graph grammars which generate languages ...
<div><p>The parsing problem is one of the key problems of graph grammars. The typical parsing algori...
This paper presents a synchronous-graph-grammar-based approach for string-to-AMR parsing. We apply M...
Graph grammars may be used as natural and powerful syntax-definition formalisms for visual programmi...
Further results of research into graph grammar parsing for syntactic pattern recognition (Pattern Re...
Abstract: This paper proposes an edge-based context-sensitive graph grammar formalism with a concen...
Directed graphs are an intuitive and versatile representation of natural language meaning because th...
Graph parsing is known to be computationally expensive. For this reason the construction of special-...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
The field of semantic modelling concerns formal models for semantics, that is, formal structures for...
Thesis (Ph. D.)--University of Rochester. Department of Computer Science, 2018.In recent years, ther...
The parsing problem is one of the key problems of graph grammars. The typical parsing algorithm uses...
Hyperedge replacement grammar (HRG) is a formalism for generating and transforming graphs that has p...
AbstractIn the first half of this paper, we give an introductory survey on graph grammars that provi...
With the abundance of large sets of relational data, methods for analyzing and providing a compact r...
In this paper, we suggest a class of (attributed) expansive graph grammars which generate languages ...
<div><p>The parsing problem is one of the key problems of graph grammars. The typical parsing algori...
This paper presents a synchronous-graph-grammar-based approach for string-to-AMR parsing. We apply M...
Graph grammars may be used as natural and powerful syntax-definition formalisms for visual programmi...
Further results of research into graph grammar parsing for syntactic pattern recognition (Pattern Re...
Abstract: This paper proposes an edge-based context-sensitive graph grammar formalism with a concen...