Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...
Soo-Min Kim, Patrick Pantel, Lei Duan, Scott Gaffn...
This paper presents the experiments carried out at Jadavpur University as part of participation in the CLEF 2007 ad-hoc bilingual task. This is our first participation in the CLEF...
This paper accounts for Priberam's participation in the monolingual question answering (QA) track of CLEF 2007. In previous participations, Priberam’s QA system obtained en...
This paper pursues the recently emerging paradigm of searching for entities that are embedded in Web pages. We utilize informationextraction techniques to identify entity candidat...
Julia Stoyanovich, Srikanta J. Bedathur, Klaus Ber...