This paper pursues the recently emerging paradigm of searching for entities that are embedded in Web pages. We utilize informationextraction techniques to identify entity candidat...
Julia Stoyanovich, Srikanta J. Bedathur, Klaus Ber...
Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...
Among the retrieval models that have been proposed in the last years, the ESA model of Gabrilovich and Markovitch received much attention. The authors report on a significant imp...
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Document-centric XML collections contain text-rich documents, marked up with XML tags. The tags add lightweight semantics to the text. Querying such collections calls for a hybrid...