Recognition and retrieval of historical handwritten material is an unsolved problem. We propose a novel approach to recognizing and retrieving handwritten manuscripts, based upon ...
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Abstract. The Information Retrieval community uses a variety of performance measures to evaluate the effectiveness of scoring functions. In this paper, we show how to adapt six pop...
Abstract. Textual Entailment has recently been proposed as an application independent task of recognising whether the meaning of one text may be inferred from another. This is pote...
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...