Sciweavers

30 search results - page 3 / 6
» Supervised and unsupervised PCFG adaptation to novel domains
Sort
View
ACL
2012
11 years 8 months ago
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons
Extracting sentiment and topic lexicons is important for opinion mining. Previous works have showed that supervised learning methods are superior for this task. However, the perfo...
Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, ...
CSL
2006
Springer
13 years 6 months ago
Unsupervised grammar induction using history based approach
Grammar induction, also known as grammar inference, is one of the most important research areas in the domain of natural language processing. Availability of large corpora has enc...
Heshaam Feili, Gholamreza Ghassem-Sani
FLAIRS
2006
13 years 7 months ago
Corpus Based Unsupervised Labeling of Documents
Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of ...
Delip Rao, Deepak P, Deepak Khemani
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
14 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
CVPR
2011
IEEE
13 years 1 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell