Sciweavers

ACL
2010
13 years 4 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 6 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 8 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 8 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 8 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 10 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»
14 years 2 days 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