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» Understanding Natural Language with Diagrams
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EDBT
2010
ACM
144views Database» more  EDBT 2010»
13 years 11 months ago
Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia
Recent progress in information extraction has shown how to automatically build large ontologies from high-quality sources like Wikipedia. But knowledge evolves over time; facts ha...
Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol,...
IUI
2010
ACM
13 years 9 months ago
Finding your way in a multi-dimensional semantic space with luminoso
We present Luminoso, a tool that helps researchers to visualize and understand a dimensionality-reduced semantic space by exploring it interactively. It also streamlines the proce...
Robert Speer, Catherine Havasi, K. Nichole Treadwa...
IJCAI
2007
13 years 9 months ago
Privacy and Artificial Agents, or, Is Google Reading My Email?
We investigate legal and philosophical notions of privacy in the context of artificial agents. Our analysis utilizes a normative account of privacy that defends its value and the ...
Samir Chopra, Laurence White
NAACL
2004
13 years 9 months ago
Robust Reading: Identification and Tracing of Ambiguous Names
A given entity, representing a person, a location or an organization, may be mentioned in text in multiple, ambiguous ways. Understanding natural language requires identifying whe...
Xin Li, Paul Morie, Dan Roth
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 7 months ago
A Bayesian Review of the Poisson-Dirichlet Process
The two parameter Poisson-Dirichlet process is also known as the PitmanYor Process and related to the Chinese Restaurant Process, is a generalisation of the Dirichlet Process, and...
Wray L. Buntine, Marcus Hutter