Research Area:  Machine Learning
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.
Author(s) Name:  VIVI NASTASE , RADA MIHALCEA and DRAGOMIR R. RADEV
Journal name:  Natural Language Engineering
Publisher name:  Cambridge University Press
Volume Information:  Volume 21 Special Issue 5