Research Area:  Machine Learning

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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Author(s) Name:  VIVI NASTASE , RADA MIHALCEA and DRAGOMIR R. RADEV

Publisher name:  Cambridge University Press

DOI:  10.1017/S1351324915000340

Volume Information:  Volume 21 Special Issue 5

Paper Link:   https://www.cambridge.org/core/journals/natural-language-engineering/article/survey-of-graphs-in-natural-language-processing/FBD7890F0A3C7AD8C3F3C4E3582EA929