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» Using Information Extraction to Improve Document Retrieval
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SIGIR
2009
ACM
16 years 19 days ago
The importance of manual assessment in link discovery
Using a ground truth extracted from the Wikipedia, and a ground truth created through manual assessment, we show that the apparent performance advantage seen in machine learning a...
Darren Wei Che Huang, Andrew Trotman, Shlomo Geva
190
Voted
TREC
2004
15 years 7 months ago
UIUC in HARD 2004--Passage Retrieval Using HMMs
UIUC participated in the HARD track in TREC 2004 and focused on the evaluation of a new method for identifying variable-length passages using HMMs. Most existing approaches to pas...
Jing Jiang, ChengXiang Zhai
SEBD
2004
151views Database» more  SEBD 2004»
15 years 7 months ago
Milos: A Multimedia Content Management System
MILOS is a multimedia content management system specialised to support multimedia digital library applications. MILOS provides applications with functionalities for the storage of...
Giuseppe Amato, Claudio Gennaro, Fausto Rabitti, P...
COLING
2008
15 years 7 months ago
Bayes Risk-based Dialogue Management for Document Retrieval System with Speech Interface
We propose an efficient dialogue management for an information navigation system based on a document knowledge base with a spoken dialogue interface. In order to perform robustly ...
Teruhisa Misu, Tatsuya Kawahara
JCDL
2003
ACM
195views Education» more  JCDL 2003»
15 years 11 months ago
An Application of Multiple Viewpoints to Content-Based Image Retrieval
Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the resu...
James C. French, A. C. Chapin, Worthy N. Martin