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» Evaluating machine learning for information extraction
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ECTEL
2009
Springer
14 years 11 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
138
Voted
BMCBI
2007
153views more  BMCBI 2007»
15 years 1 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 8 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...
95
Voted
ACL
1998
15 years 3 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 2 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