Abstract
Text Summarization and categorization have always been two of the most demanding information retrieval tasks. Deploying a generalized, multi-functional mechanism that produces good results for both of the aforementioned tasks seems to be a panacea for most of the text-based, information retrieval needs. In this paper, we present the keyword extraction techniques, exploring the effects that part of speech tagging has on the summarization procedure of an existing system.
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Bouras, C., Tsogkas, V. (2008). Improving Text Summarization Using Noun Retrieval Techniques. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_73
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DOI: https://doi.org/10.1007/978-3-540-85565-1_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85564-4
Online ISBN: 978-3-540-85565-1
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