W3QS: A Query System for the World-Wide Web
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Document Explorer: Discovering Knowledge in Document Collections
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Knowledge Discovery in Texts: A Definition, and Applications
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
Incorporating context information for the extraction of terms
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Towards automatic extraction of monolingual and bilingual terminology
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
visualRSS: a platform to mine and visualise social data from RSS feeds
ICWE'12 Proceedings of the 12th international conference on Current Trends in Web Engineering
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Thousand of news stories are reported each day. How to extract the useful information from the large web news is the important technology today. However, information technology advances have partially automated to processing documents, reducing the amount of text which must be read. In this paper we present a Web News Search System, called WNSS. WNSS can discover automatically phrase extraction from large corpora of web news stories. In addition, we give concrete examples of how to preprocess texts based on the intended use of the discovered results. We also evaluate the extracted phrases can be used for important tasks.