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» Learning Concepts by Modeling Relationships
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ACL
2004
14 years 11 months ago
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models
We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab ...
Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
WEBI
2005
Springer
15 years 3 months ago
Information Domain Modeling for Adaptive Web Systems
This paper presents a Domain Modeling System, which builds a domain model framework for adaptive Web systems. It records concepts and the relationships among them and represents t...
Wenpu Xing, Ali A. Ghorbani
AI
2007
Springer
14 years 9 months ago
Multi-agent learning and the descriptive value of simple models
Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple “foresight-free” models. The current note discusses the ...
Ido Erev, Alvin E. Roth
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SIGIR
2006
ACM
15 years 3 months ago
Information retrieval with commonsense knowledge
This paper employs ConceptNet, which covers a rich set of commonsense concepts, to retrieve images with text descriptions by focusing on spatial relationships. Evaluation on test ...
Ming-Hung Hsu, Hsin-Hsi Chen
WWW
2011
ACM
14 years 4 months ago
Towards semantic knowledge propagation from text corpus to web images
In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...
Guojun Qi, Charu C. Aggarwal, Thomas Huang