TY  - JOUR
T1  - Information Retrieval in Medical Domain Using Root Sense Tagging Approach
AU - , M. Sundara Rajan AU - , S.P. Rajagopalan 
JO  - International Journal of Soft Computing
VL  - 2
IS  - 5
SP  - 592
EP  - 594
PY  - 2007
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2007.592.594
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2007.592.594
KW  - IR (Information Retrieval)
KW  -WSD (Word Sense Disambiguation)
KW  -WN (Word Net)
KW  -RST (Root Sense Tagging)
KW  - MWN (Medical Word Net)
KW  -Natural Language Processing (NLP)
AB  - Medical NLP systems, generally designed to analyze medical texts for decision support or indexing purposes, have to deal with ambiguities in language. Information Retrieval (IR) in the Medical Domain often ignores word senses in document relevance calculations. This is largely due to the fact that word sense disambiguation is not an easy task. However, in IR some of the strictest requirements of traditional approach to detailed disambiguation can be relaxed. This study discusses a successfully implemented approach to using word senses in IR tasks, which can be combined with various IR methods for successful use in the Medical Domain.
ER  -