Foundations of statistical natural language processing
Foundations of statistical natural language processing
A simple but powerful automatic term extraction method
COMPUTERM '02 COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14
Construction of an objective hierarchy of abstract concepts via directional similarity
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Extraction of hierarchies based on inclusion of co-occurring words with frequency information
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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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.