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» A Model for Learning the Semantics of Pictures
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ACL
2009
14 years 7 months ago
Learning Semantic Correspondences with Less Supervision
A central problem in grounded language acquisition is learning the correspondences between a rich world state and a stream of text which references that world state. To deal with ...
Percy Liang, Michael I. Jordan, Dan Klein
MM
2005
ACM
172views Multimedia» more  MM 2005»
15 years 3 months ago
Learning the semantics of multimedia queries and concepts from a small number of examples
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Apostol Natsev, Milind R. Naphade, Jelena Tesic
ECML
2006
Springer
15 years 1 months ago
A Discriminative Approach for the Retrieval of Images from Text Queries
This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative model: the parameters are sel...
David Grangier, Florent Monay, Samy Bengio
SYNTHESE
2010
70views more  SYNTHESE 2010»
14 years 4 months ago
Models and fiction
Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In...
Roman Frigg
75
Voted
AAAI
2007
14 years 12 months ago
Learning Language Semantics from Ambiguous Supervision
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
Rohit J. Kate, Raymond J. Mooney