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» Unsupervised Semantic Parsing
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ACL
2010
13 years 5 months ago
Cross-Lingual Latent Topic Extraction
Probabilistic latent topic models have recently enjoyed much success in extracting and analyzing latent topics in text in an unsupervised way. One common deficiency of existing to...
Duo Zhang, Qiaozhu Mei, ChengXiang Zhai
EMNLP
2011
12 years 7 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
EJC
2010
13 years 2 months ago
Modelling a Query Space Using Associations
We all use our associative memory constantly. Words and concepts form paths that we can follow to find new related concepts; for example, when we think about a car we may associate...
Mika Timonen, Paula Silvonen, Melissa Kasari
CVPR
2007
IEEE
14 years 9 months ago
Spectral Matting
We present spectral matting: a new approach to natural image matting that automatically computes a set of fundamental fuzzy matting components from the smallest eigenvectors of a ...
Anat Levin, Alex Rav-Acha, Dani Lischinski
CIKM
2009
Springer
14 years 2 months ago
Text segmentation via topic modeling: an analytical study
In this paper, the task of text segmentation is approached from a topic modeling perspective. We investigate the use of latent Dirichlet allocation (LDA) topic model to segment a ...
Hemant Misra, François Yvon, Joemon M. Jose...