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Semantic Graph Parsing with Recurrent Neural Network DAG Grammars
Semantic parses are directed acyclic graphs (DAGs), so semantic parsing should be modeled as graph prediction.
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The problem with probabilistic DAG automata for semantic graphs
Semantic representations in the form of directed acyclic graphs (DAGs) have been introduced in recent years, and to model them, we need probabilistic models of DAGs.
Recurrent Neural Networks as Weighted Language Recognizers
We investigate the computational complexity of various problems for simple recurrent neural networks (RNNs) as formal models for recognizing weighted languages.
Parsing Graphs with Regular Graph Grammars
Recently, several datasets have become available which represent natural language phenomena as graphs.
