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» Using Information Extraction to Improve Document Retrieval
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IUI
2005
ACM
16 years 7 days ago
Improving proactive information systems
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such ...
Daniel Billsus, David M. Hilbert, Dan Maynes-Aminz...
WWW
2008
ACM
16 years 7 months ago
Mining for personal name aliases on the web
We propose a novel approach to find aliases of a given name from the web. We exploit a set of known names and their aliases as training data and extract lexical patterns that conv...
Danushka Bollegala, Taiki Honma, Yutaka Matsuo, Mi...
SIGIR
2011
ACM
14 years 9 months ago
Cluster-based fusion of retrieved lists
Methods for fusing document lists that were retrieved in response to a query often use retrieval scores (or ranks) of documents in the lists. We present a novel probabilistic fusi...
Anna Khudyak Kozorovitzky, Oren Kurland
ISMIS
2003
Springer
15 years 12 months ago
MetaNews: An Information Agent for Gathering News Articles on the Web
This paper presents MetaNews, an information gathering agent for news articles on the Web. MetaNews reads HTML documents from online news sites and extracts article information fro...
Dae-Ki Kang, Joongmin Choi
CIKM
2009
Springer
16 years 1 months ago
Using opinion-based features to boost sentence retrieval
Opinion mining has become recently a major research topic. A wide range of techniques have been proposed to enable opinion-oriented information seeking systems. However, little is...
Ronald T. Fernández, David E. Losada