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» Evaluating machine learning for information extraction
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ECTEL
2009
Springer
15 years 2 months ago
Ontology Enrichment with Social Tags for eLearning
One of the objectives of this paper is to verify whether it is possible to extract meaningful related tags from a limited set of tagged resources and from resources tagged by only ...
Paola Monachesi, Thomas Markus, Eelco Mossel
BMCBI
2007
153views more  BMCBI 2007»
15 years 4 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
ICALT
2006
IEEE
15 years 10 months ago
The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System
Feedback is information that is provided to a user to inform him/her about the result of his/her action and to motivate him/her to further interact with the system. In web-based l...
Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puu...
ACL
1998
15 years 5 months ago
Learning Tense Translation from Bilingual Corpora
This paper studies and evaluates disambiguation strategies for the translation of tense between German and English, using a bilingual corpus of appointment scheduling dialogues. I...
Michael Schiehlen
SIGMOD
2010
ACM
201views Database» more  SIGMOD 2010»
15 years 4 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