An important challenge for biomedical information retrieval (IR) is dealing with the complex, inconsistent and ambiguous biomedical terminology. Frequently, a concept-based repres...
Dolf Trieschnigg, Djoerd Hiemstra, Franciska de Jo...
Song and Bruza [6] introduce a framework for Information Retrieval(IR) based on Gardenfor’s three tiered cognitive model; Conceptual Spaces[4]. They instantiate a conceptual spa...
This paper compares two different ways of estimating statistical language models. Many statistical NLP tagging and parsing models are estimated by maximizing the (joint) likelihoo...
The bottleneck for dictionary-based cross-language information retrieval is the lack of comprehensive dictionaries, in particular for many different languages. We here introduce a...
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 ye...