Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...
This paper introduces an unsupervised vector approach to disambiguate words in biomedical text that can be applied to all-word disambiguation. We explore using contextual informat...
This paper presents the participation of the semantic N-levels search engine SENSE at the CLEF 2009 Ad Hoc Robust-WSD Task. During the participation at the same task of CLEF 2008,...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
Web documents present new challenges to conventional Information Retrieval (IR) technologies. This paper describes how these challenges are faced in FameIR, a multilingual multime...
Abstract. We present a method that uses GeoWordNet for Geographical Information Retrieval. During the indexing phase, all places are disambiguated and assigned their coordinates on...