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Afsaneh Fazly 的引文(159) 排序方式:
Reading between the Lines: Object Localization Using Implicit Cues from Image Tags  
Current uses of tagged images typically exploit only the most explicit information: the link between the nouns named and the objects present somewhere in the image. We propose to leverage “unspoken” c......
IEEE Transactions on Pattern Analysis and Machine Intelligence  2012
2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
Additional services for Natural Language Engineering:  
How to cite this article: YULIA TSVETKOV and SHULY WINTNER (2012). Extraction of multiword expressions from small parallel corpora. Natural Language Engineering,18, pp 549573 doi:10.1017/S135132491200......
 2012
0次引用 0 0
dirichlet process mixture models for lexical category acquisition  
In this work, we apply Dirichlet Process Mixture Models (DPMMs) to a cognitive computational task in natural language processing (NLP): lexical category acquisition. The model takes a corpus of child-......
IEEE International Conference on Cloud Computing and Intelligence Systems  2011
0次引用 0 0
Open Information Extraction: the Second Generation  
How do we scale information extraction to the massive size and unprecedented heterogeneity of the Web corpus? Beginning in 2003, our KnowItAll project has sought to extract high-quality knowledge from......
 2011
3次引用 0 0
The Role of Statistical Evidence in Child Acquisition of Multiword Verbs  
Multiword expressions (MWEs) are combinations of words that convey a single meaning that is not generally composable from their component words. Because of this property, they must, like words, be sto......
 2010
0次引用 0 0
Using Gaussian Mixture Models to Detect Figurative Language in Context  
We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an unsupervised fashion ......
Human Language Technologies: The Conference of the North American Chapter of the Association for Computational Linguistics  2010
1次引用 0 0
Automatic Acquisition of Chinese Novel Noun Compounds  
Automatic acquisition of novel compounds is notoriously difficult because most novel compounds have relatively low frequency in a corpus. The current study proposes a new method to deal with the novel......
Language Resources and Evaluation  2010
0次引用 0 0
Linguistic Cues for Distinguishing Literal and Non-Literal Usages  
We investigate the effectiveness of different linguistic cues for distinguishing literal and non-literal usages of potentially idiomatic expressions. We focus specifically on features that generalize ......
International Conference on Computational Linguistics  2010
2次引用 0 0
Identifying Idiomatic Expressions Using Phrase Alignments in Bilingual Parallel Corpus  
Previous efforts to identify idiomatic expressions using a bilingual parallel corpus have focused on the method of using word alignments to catch the sense of individual words. In this paper, we propo......
Pacific Rim International Conference on Artificial Intelligence  2010
0次引用 0 0

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