Creating more fine-grained annotated data than previously relevent document sets is important for evaluating individual components in automatic question answering systems. In this...
There are still no established methods for the evaluation of browsing and exploratory search tools. In the (multimedia) information retrieval community evaluations following the C...
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
The Answer Validation Exercise at the Cross Language Evaluation Forum (CLEF) is aimed at developing systems able to decide whether the answer of a Question Answering (QA) system i...
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...