Publication | Open Access
A survey of graphs in natural language processing
75
Citations
115
References
2015
Year
Graph Representation LearningEngineeringAbstract GraphsSemanticsLanguage ProcessingGraph ProcessingRepresentation LearningNatural Language ProcessingKnowledge Graph EmbeddingsData ScienceComputational LinguisticsGraph ConstructionLanguage StudiesKnowledge RepresentationPowerful Representation FormalismKnowledge DiscoveryKnowledge GraphsTreebanksGraph TheoryDomain Knowledge ModelingGraph AnalysisSemantic GraphLinguistics
Abstract Graphs are a powerful representation formalism that can be applied to a variety of aspects related to language processing. We provide an overview of how Natural Language Processing problems have been projected into the graph framework, focusing in particular on graph construction – a crucial step in modeling the data to emphasize the phenomena targeted.
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