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» Information retrieval with commonsense knowledge
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AIRS
2008
Springer
16 years 22 days ago
Using Multiple Combined Ranker for Answering Definitional Questions
This paper presents a Multiple Combined Ranker (MCR) approach for answering definitional questions. Generally, our MCR approach first extracts question target-related knowledge as ...
Junkuo Cao, Lide Wu, Xuanjing Huang, Yaqian Zhou, ...
WWW
2011
ACM
15 years 1 months ago
Generalized fact-finding
Once information retrieval has located a document, and information extraction has provided its contents, how do we know whether we should actually believe it? Fact-finders are a ...
Jeff Pasternack, Dan Roth
CMOT
2010
176views more  CMOT 2010»
15 years 3 months ago
A cognitive model of spatial path-planning
Planning a path to a destination, given a number of options and obstacles, is a common task. We suggest a two-component cognitive model that combines retrieval of knowledge about t...
David Reitter, Christian Lebiere
WWW
2003
ACM
16 years 7 months ago
Mining topic-specific concepts and definitions on the web
Traditionally, when one wants to learn about a particular topic, one reads a book or a survey paper. With the rapid expansion of the Web, learning in-depth knowledge about a topic...
Bing Liu, Chee Wee Chin, Hwee Tou Ng
AAAI
2006
15 years 7 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran