Sciweavers

ACL
2010
13 years 2 months ago
Multilingual Pseudo-Relevance Feedback: Performance Study of Assisting Languages
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...
Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bh...
SIGIR
2008
ACM
13 years 4 months ago
Selecting good expansion terms for pseudo-relevance feedback
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
2000
13 years 5 months ago
Reflections on "Aboutness" TREC-9 Evaluation Experiments at Justsystem
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...
Sumio Fujita
TREC
2001
13 years 5 months ago
More Reflections on "Aboutness" TREC-2001 Evaluation Experiments at Justsystem
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...
Sumio Fujita
ECIR
2010
Springer
13 years 5 months ago
On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents
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...
Karthik Raman, Raghavendra Udupa, Pushpak Bhattach...
SIGIR
2010
ACM
13 years 8 months ago
Multilingual PRF: english lends a helping hand
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...
Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bh...
MM
2003
ACM
116views Multimedia» more  MM 2003»
13 years 9 months ago
Negative pseudo-relevance feedback in content-based video retrieval
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...
Rong Yan, Alexander G. Hauptmann, Rong Jin