Mining, ranking, and using acronym patterns
Xiaonan Ji, Cu Xu, James Bailey, Hang Li, Y Zhang (ed.), G Yu (ed.), E Bertino (ed.), G Xu (ed.)
PROGRESS IN WWW RESEARCH AND DEVELOPMENT, PROCEEDINGS | SPRINGER-VERLAG BERLIN | Published : 2008
Techniques for being able to automatically identify acronym patterns are very important for enhancing a multitude of applications that rely upon search. This task is challenging, due to the many ways that acronyms and their expansions can be embedded in text. Methods for ranking and exploiting acronym patterns are another related, yet mostly untouched area. In this paper we present a new and extensible approach to discover acronym patterns. Furthermore, we present a new approach that can also be used for both ranking the patterns, as well as utilizing them within search queries. In our pattern discovery system, we are able to achieve a clear separation between higher and lower level function..View full abstract
This work was partially supported by Microsoft Research Asia and National ICT Australia. We thanks Jiafeng Guo and Zhichao Zhou for their helpful suggestion.