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In a previous work of ours Chinnakotla et al. (2010) we introduced a novel framework for Pseudo-Relevance Feedback (PRF) called MultiPRF. Given a query in one language called Sour...
Pseudo-relevance feedback assumes that most frequent terms in the pseudo-feedback documents are useful for the retrieval. In this study, we re-examine this assumption and show tha...
Guihong Cao, Jian-Yun Nie, Jianfeng Gao, Stephen R...
TREC-9 evaluation experiments at the Justsystem site are described with a focus on "aboutness" based approach in text retrieval. Experiments on the effects of supplement...
The TREC-2001 Web track evaluation experiments at the Justsystem site are described with a focus on the "aboutness" based approach in text retrieval. In the web ad hoc t...
Abstract. Pseudo-Relevance Feedback (PRF) assumes that the topranking n documents of the initial retrieval are relevant and extracts expansion terms from them. In this work, we int...
In this paper, we present a novel approach to Pseudo-Relevance Feedback (PRF) called Multilingual PRF (MultiPRF). The key idea is to harness multilinguality. Given a query in a la...
Video information retrieval requires a system to find information relevant to a query which may be represented simultaneously in different ways through a text description, audio...