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MLCW
2005
Springer
15 years 11 months ago
Learning Textual Entailment on a Distance Feature Space
Textual Entailment recognition is a very difficult task as it is one of the fundamental problems in any semantic theory of natural language. As in many other NLP tasks, Machine Lea...
Maria Teresa Pazienza, Marco Pennacchiotti, Fabio ...
ELPUB
2003
ACM
15 years 11 months ago
Using Scientific Documents for Distance Learning
: In scientific digital libraries many documents such as publications, technical reports, theses, etc. could be used as basic data supports for distance learning in the universitie...
Béatrice Rumpler
IDEAL
2003
Springer
15 years 11 months ago
On Hadamard-Type Output Coding in Multiclass Learning
The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, co...
Aijun Zhang, Zhi-Li Wu, Chun Hung Li, Kai-Tai Fang
AAAI
2010
15 years 7 months ago
Toward an Architecture for Never-Ending Language Learning
We consider here the problem of building a never-ending language learner; that is, an intelligent computer agent that runs forever and that each day must (1) extract, or read, inf...
Andrew Carlson, Justin Betteridge, Bryan Kisiel, B...
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UAI
2008
15 years 7 months ago
Multi-View Learning over Structured and Non-Identical Outputs
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
Kuzman Ganchev, João Graça, John Bli...