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AbstractGraphs 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.doi:10.1017/s1351324915000340 fatcat:knbsaqnd6ngahmv4m4tub32o6y