An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
Summarizing text documents: sentence selection and evaluation metrics
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
A news story categorization system
ANLC '88 Proceedings of the second conference on Applied natural language processing
A practical part-of-speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Part of speech tagging using a network of linear separators
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A personalized search engine based on web-snippet hierarchical clustering
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
PeRSSonal's core functionality evaluation: Enhancing text labeling through personalized summaries
Data & Knowledge Engineering
W-kmeans: clustering news articles using wordNet
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
An alternative approach for statistical single-label document classification of newspaper articles
Journal of Information Science
i-JEN: visual interactive Malaysia crime news retrieval system
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part II
A clustering technique for news articles using WordNet
Knowledge-Based Systems
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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.