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246
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SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
16 years 4 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
131
Voted
BMCBI
2008
122views more  BMCBI 2008»
15 years 3 months ago
OpenDMAP: An open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein tr
Background: Information extraction (IE) efforts are widely acknowledged to be important in harnessing the rapid advance of biomedical knowledge, particularly in areas where import...
Lawrence Hunter, Zhiyong Lu, James Firby, William ...
116
Voted
ISMB
2000
15 years 5 months ago
A Pragmatic Information Extraction Strategy for Gathering Data on Genetic Interactions
We present in this paper a pragmatic strategy to perform information extraction from biologic texts. Since the emergence of the information extraction field, techniques have evolv...
Denys Proux, François Rechenmann, Laurent J...
141
Voted
ECWEB
2004
Springer
179views ECommerce» more  ECWEB 2004»
15 years 9 months ago
Applying Text Mining on Electronic Messages for Competitive Intelligence
This paper presents how text -mining techniques can be used to analyze an enterprise’s external environment searching for competitors, related products and services, marketing st...
José Palazzo Moreira de Oliveira, Stanley L...
114
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EMNLP
2006
15 years 5 months ago
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement
Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual r...
Hany Hassan, Ahmed Hassan, Ossama Emam