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» Lessons Learned from Applying AI to the Web
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EACL
2003
ACL Anthology
13 years 9 months ago
Classifying the Hungarian Web
In this paper we present some lessons learned from building vizsla, the keyword search and topic classification system used on the largest Hungarian portal, [origo.hu]. Based on ...
András Kornai, Marc Krellenstein, Michael M...
AI
2005
Springer
13 years 7 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
ASC
2008
13 years 8 months ago
AISIID: An artificial immune system for interesting information discovery on the web
There exist numerous systems for mining the web in search of relevant information but few exist for the discovery of interesting information. The discovery of interesting informat...
Andrew Secker, Alex Alves Freitas, Jon Timmis
AI
2011
Springer
13 years 2 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
PAKM
2000
13 years 9 months ago
Facilitating the Online Search of Experts at NASA using Expert Seeker People-Finder
People-Finder Systems are knowledge repositories that attempt to manage knowledge by holding pointers to experts who possess specific knowledge within an organization. This paper ...
Irma Becerra-Fernandez