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...
Abstract. Geographic place names are semantically often highly ambiguous. For example, there are 491 places in Finland sharing the same name "Isosaari" (great island) tha...
Tomi Kauppinen, Riikka Henriksson, Reetta Sinkkil&...
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of conte...
Named entities (e.g., "Kofi Annan", "Coca-Cola", "Second World War") are ubiquitous in web pages and other types of document and often provide a simpl...
Felix Weigel, Klaus U. Schulz, Levin Brunner, Edua...