† In this paper, we compare two methods for article summarization. The first method is mainly based on term-frequency, while the second method is based on ontology. We build an o...
The problem of automatic text segmentation is subcategorized into two different problems: thematic segmentation into rather large topically selfcontained sections and splitting int...
Creating more fine-grained annotated data than previously relevent document sets is important for evaluating individual components in automatic question answering systems. In this...
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...
This paper describes the baselines proposed for the ResPubliQA 2009 task. These baselines are purely based on information retrieval techniques. The selection of an adequate retrie...