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» Ontology based Text Annotation - OnTeA
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NIPS
2003
13 years 11 months ago
A Model for Learning the Semantics of Pictures
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Victor Lavrenko, R. Manmatha, Jiwoon Jeon
SEMWEB
2010
Springer
13 years 8 months ago
Towards Semantic Annotation Supported by Dependency Linguistics and ILP
In this paper we present a method for semantic annotation of texts, which is based on a deep linguistic analysis (DLA) and Inductive Logic Programming (ILP). The combination of DLA...
Jan Dedek
EACL
2006
ACL Anthology
13 years 11 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini
EGOV
2005
Springer
14 years 3 months ago
Monitoring and Updating Regulations and Policies for Government Services
One of the challenges citizens and businesses face in interacting with governments for entitled services or compliance services is to find the right set of regulations and rules th...
Soon Ae Chun, Edwin Portscher, James Geller
BMCBI
2007
140views more  BMCBI 2007»
13 years 10 months ago
Evaluation of high-throughput functional categorization of human disease genes
Background: Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilit...
James L. Chen, Yang Liu, Lee T. Sam, Jianrong Li, ...