Term selection process is a very necessary component for most natural language processing tasks. Although different unsupervised techniques have been proposed, the best results ar...
This paper presents Wolverhampton University's participation in the WiQA competition. The method chosen for this task combines a high precision, but low recall information re...
In this paper we propose a novel sentence retrieval method based on extracting highly frequent terms from top retrieved documents. We compare it against state of the art sentence r...
We report on the development of a new automatic feedback model to improve information retrieval in digital libraries. Our hypothesis is that some particular sentences, selected ba...
Patrick Ruch, Imad Tbahriti, Julien Gobeill, Alan ...
The emergence of the world-wide-web has led to an increased interest in methods for searching for information. A key characteristic of many of the online document collections is t...