Networks and Natural Language Processing
DOI:
https://doi.org/10.1609/aimag.v29i3.2160Abstract
Over the last few years, a number of areas of natural language processing have begun applying graph-based techniques. These include, among others, text summarization, syntactic parsing, word-sense disambiguation, ontology construction, sentiment and subjectivity analysis, and text clustering. In this paper, we present some of the most successful graph-based representations and algorithms used in language processing and try to explain how and why they work.
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Published
2008-09-05
How to Cite
Radev, D. R., & Mihalcea, R. (2008). Networks and Natural Language Processing. AI Magazine, 29(3), 16. https://doi.org/10.1609/aimag.v29i3.2160
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