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» A Conditional Random Field for Multiple-Instance Learning
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IJCNLP
2005
Springer
14 years 1 months ago
Tense Tagging for Verbs in Cross-Lingual Context: A Case Study
The current work applies Conditional Random Fields to the problem of temporal reference mapping from Chinese text to English text. The learning algorithm utilizes a moderate number...
Yang Ye, Zhu Zhang
SIGIR
2010
ACM
13 years 11 months ago
Clicked phrase document expansion for sponsored search ad retrieval
We present a document expansion approach that uses Conditional Random Field (CRF) segmentation to automatically extract salient phrases from ad titles. We then supplement the ad d...
Dustin Hillard, Chris Leggetter
ERCIMDL
2010
Springer
180views Education» more  ERCIMDL 2010»
13 years 5 months ago
SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size)
Extracting titles from a PDFs full text is an important task in information retrieval to identify PDFs. Existing approaches apply complicated and expensive (in terms of calculating...
Jöran Beel, Bela Gipp, Ammar Shaker, Nick Fri...
CVPR
2008
IEEE
13 years 7 months ago
Joint multi-label multi-instance learning for image classification
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...
Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong W...
CVPR
2010
IEEE
14 years 1 months ago
YouTubeCat: Learning to Categorize Wild Web Videos
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, ...