Fusion and optimization based on relevance judgements have proven to be successful strategies in information retrieval. In this year's CLEF campaign we applied these strategi...
This paper present a method based on the behavior of nonnative speaker for reduction sentence in foreign language. We demonstrate an algorithm using semantic information in order ...
User generated content is characterized by short, noisy documents, with many spelling errors and unexpected language usage. To bridge the vocabulary gap between the user's in...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...