In this paper we present a system which uses ontological resources and a gene name variation generation tool to expand concepts in the original query. The novelty of our approach ...
Nicola Stokes, Yi Li, Lawrence Cavedon, Eric Huang...
In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an uns...
Deepak Ravichandran, Abraham Ittycheriah, Salim Ro...
Many open domain question answering systems answer questions by first harvesting a large number of candidate answers, and then picking the most promising one from the list. One c...
Stefan Schlobach, David Ahn, Maarten de Rijke, Val...
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-oc...
During the last few years, a lot of researches have focused on automatic definition extraction in the context of question answering systems. Although, these researches have been co...