Piao, Scott and Rea, Brian and McNaught, John and Ananiadou, Sophia (2010) Improving full text search with text mining tools. In: Natural language processing and information systems : 14th International Conference on Applications of Natural Language to Information Systems, NLDB 2009, Saarbrücken, Germany, June 24-26, 2009. Revised Papers. Lecture Notes in Computer Science . Springer, Berlin, pp. 301-302. ISBN 9783642125492
Full text not available from this repository.Abstract
Today, academic researchers face a flood of information. Full text search provides an important way of finding useful information from mountains of publications, but it generally suffers from low precision, or low quality of document retrieval. A full text search algorithm typically examines every word in a given text, trying to find the query words. Unfortunately, many words in natural language are polysemous, and thus many documents retrieved using this approach are irrelevant to actual search queries.