A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is
This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval. We tackle a frequently-occurring class of questions that takes the form "What is the best drug treatment for X?" Starting from an initial set of MEDLINE citations, our system first identifies the drugs under study. Abstracts are then clustered using semantic classes from the UMLS ontology. Finally, a short extractive summary is generated fordoi:10.3115/1220175.1220281 dblp:conf/acl/Demner-FushmanL06 fatcat:2azk2kzycfd7fdzmfdlm3xc6vq