We introduce a method for learning query transformations that improves the ability to retrieve answers to questions from an information retrieval system. During the training stage...
We present an approach for querying collections of heterogeneous linguistic corpora that are annotated on multiple layers using arbitrary XML-based markup languages. An OWL ontolo...
Georg Rehm, Richard Eckart, Christian Chiarcos, Jo...
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
Many researchers have noted that web search queries are often ambiguous or unclear. We present an approach for identifying the popular meanings of queries using web search logs an...
Log data constitute a relevant aspect in the evaluation process of the quality of a search engine and the quality of a multilingual search service; log data can be used to study t...
Thomas Mandl, Maristella Agosti, Giorgio Maria Di ...