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WWW
2004
ACM
14 years 9 months ago
Web-scale information extraction in knowitall: (preliminary results)
Manually querying search engines in order to accumulate a large body of factual information is a tedious, error-prone process of piecemeal search. Search engines retrieve and rank...
Oren Etzioni, Michael J. Cafarella, Doug Downey, S...
NLPRS
2001
Springer
14 years 1 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
SIGMOD
2010
ACM
201views Database» more  SIGMOD 2010»
13 years 9 months ago
I4E: interactive investigation of iterative information extraction
Information extraction systems are increasingly being used to mine structured information from unstructured text documents. A commonly used unsupervised technique is to build iter...
Anish Das Sarma, Alpa Jain, Divesh Srivastava
CIKM
2003
Springer
14 years 2 months ago
Lessons from the implementation of an adaptive parts acquisition ePortal
In recent work we have developed a novel approach to the design and implementation of an online portal (ePortal) to help application engineers find replacements for electronic par...
Rafael Alonso, Jeffrey A. Bloom, Hua Li
LCN
2006
IEEE
14 years 2 months ago
Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...
Thuy T. T. Nguyen, Grenville J. Armitage