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Afsaneh Fazly 的论文(22) 排序方式:
Using Noun Similarity to Adapt an Acceptability Measure for Persian Light Verb Constructions  
Language Resources and Evaluation  2012
0次引用 0 0
Automatic Identification of Persian Light Verb Constructions  
Conference on Intelligent Text Processing and Computational Linguistics  2012
0次引用 0 0
Discovering hierarchical object models from captioned images  
We address the problem of automatically learning the recurring associations between the visual structures in images and the words in their associated captions, yielding a set of named object models th......
Computer Vision and Image Understanding  2012
0次引用 0 0
A Probabilistic Computational Model of Cross-Situational Word Learning  
Words are the essence of communication: They are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisition: Children must fir......
Cognitive Science  2010
4次引用 0 0
Discovering Multipart Appearance Models from Captioned Images  
Abstract. Even a relatively unstructured captioned image set depicting a variety of objects in cluttered scenes contains strong correlations between caption words and repeated visual structures. We ex......
European Conference on Computer Vision  2010
0次引用 0 0
Using Language to Learn Structured Appearance Models for Image Annotation  
Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances of the objects. Only a small frac......
IEEE Transactions on Pattern Analysis and Machine Intelligence  2010
0次引用 0 0
Unsupervised Type and Token Identification of Idiomatic Expressions  
Idiomatic expressions are plentiful in everyday language, yet they remain mysterious, as it is not clear exactly how people learn and understand them. They are of special interest to linguists, psycho......
Computational Linguistics  2009
17次引用 0 0
Fast Mapping in Word Learning: What Probabilities Tell Us  
Children can determine the meaning of a new word from hearing it used in a familiar context—an ability often referred to as fast mapping. In this paper, we study fast map- ping in the context of a gen......
 2008
0次引用 0 0
An Incremental Bayesian Model for Learning Syntactic Categories  
We present an incremental Bayesian model for the unsupervised learning of syntactic categories from raw text. The model draws information from the distributional cues of words within an utterance, whi......
 2008
6次引用 0 0
Learning Structured Appearance Models from Captioned Images of Cluttered Scenes  
Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to learn both the names and appearances of the objects. Only a small number of loca......
International Conference on Computer Vision  2007
14次引用 0 0

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