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» Evaluating machine learning for information extraction
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142
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BMCBI
2008
185views more  BMCBI 2008»
15 years 4 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
101
Voted
ICALT
2005
IEEE
15 years 10 months ago
The Use of an Adaptive Hypermedia Learning System to Support a New Pedagogical Model
The purpose of this paper is to present the current state and future development of the PLATINEA project. This project allows students and teachers to create and to consolidate kn...
Constatino Martins, Isabel Azevedo, Carlos Vaz de ...
165
Voted
IPM
2008
159views more  IPM 2008»
15 years 4 months ago
Exploring syntactic structured features over parse trees for relation extraction using kernel methods
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
Min Zhang, Guodong Zhou, AiTi Aw
219
Voted
IR
2011
14 years 11 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
OTM
2004
Springer
15 years 10 months ago
Integrating Ontologies into Learning Management Systems - A Case of Czech
The paper deals with the role of ontologies in e-learning. We report our research on the application of ontologies in intelligent platforms for self-learning and computer-mediated ...
Pavel Smrz