Abstract
Due to the rapid increase in the number of existing web pages, accessing the pertinent information we seek has become more difficult, especially when one cannot hit upon the proper keywords for the search engine. When we encounter such a situation, we often try to add more keywords to the previous query. However, adding the appropriate words so as to extract only useful documents is rather difficult. In order to solve this problem, we developed a method of extracting term collocations that could help limit the extracted pages to those that are more informative. In order to verify the usefulness of our approach, we extracted collocations from web documents within the medical domain as an example, and we input those collocations into a search engine and retrieved information from the Internet. The results verified that the collocations extracted by this methodology directed users to more informative web pages.
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© 2006 Springer-Verlag Berlin Heidelberg
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Yamamoto, E., Isahara, H. (2006). Extracting Term Collocations for Directing Users to Informative Web Pages. In: Salakoski, T., Ginter, F., Pyysalo, S., Pahikkala, T. (eds) Advances in Natural Language Processing. FinTAL 2006. Lecture Notes in Computer Science(), vol 4139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816508_32
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DOI: https://doi.org/10.1007/11816508_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37334-6
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