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» Learning probabilistic models of the Web
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ICASSP
2009
IEEE
15 years 8 months ago
Annotating images by harnessing worldwide user-tagged photos
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
Xirong Li, Cees G. M. Snoek, Marcel Worring
EMNLP
2004
15 years 3 months ago
Scaling Web-based Acquisition of Entailment Relations
Paraphrase recognition is a critical step for natural language interpretation. Accordingly, many NLP applications would benefit from high coverage knowledge bases of paraphrases. ...
Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventur...
EDM
2010
173views Data Mining» more  EDM 2010»
15 years 2 months ago
Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course Design
This poster will describe the Learner Interaction Monitoring System (LiMS), designed to capture data demonstrating learner online engagement with course materials. The poster prese...
Leah Macfadyen, Peter Sorenson
PKDD
2010
Springer
131views Data Mining» more  PKDD 2010»
15 years 11 days ago
Flu Detector - Tracking Epidemics on Twitter
Abstract. We present an automated tool with a web interface for tracking the prevalence of Influenza-like Illness (ILI) in several regions of the United Kingdom using the contents...
Vasileios Lampos, Tijl De Bie, Nello Cristianini
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
16 years 2 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny