Retrieval in historic documents with non-standard spelling requires a mapping from search terms onto the historic terms in the document. For describing this mapping, we have develo...
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
We report on the effectiveness of language models for personalization of retrieval results based on a searcher’s preference for document genre. In principle, such preferences ca...
Gheorghe Muresan, Catherine L. Smith, Michael Cole...
In this report we describe the approach of the University of Twente to the 2006 GeoCLEF task. It is based on retrieval by content and the subsequent filtering by geographical rele...
The world wide web is a natural setting for cross-lingual information retrieval. The European Union is a typical example of a multilingual scenario, where multiple users have to de...