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» On bootstrapping recommender systems
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ACL
2004
13 years 10 months ago
Relieving the data Acquisition Bottleneck in Word Sense Disambiguation
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
Mona T. Diab
ACL
2010
13 years 3 months ago
Adapting Self-Training for Semantic Role Labeling
Supervised semantic role labeling (SRL) systems trained on hand-crafted annotated corpora have recently achieved state-of-the-art performance. However, creating such corpora is te...
Rasoul Samad Zadeh Kaljahi
COMPSAC
2002
IEEE
14 years 1 months ago
On Bootstrapping Replicated CORBA Applications
Critical components of a distributed system must be replicated to achieve high availability and fault tolerance. Current faulttolerant CORBA infrastructures have concentrated on m...
Wenbing Zhao, Louise E. Moser, P. M. Melliar-Smith
COLING
2010
13 years 3 months ago
Filtered Ranking for Bootstrapping in Event Extraction
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
Shasha Liao, Ralph Grishman
ADAPTIVE
2007
Springer
14 years 2 months ago
Case-Based Recommendation
Abstract. Data Mining, or Knowledge Discovery as it is also known, is becoming increasingly useful in a wide variety of applications. In the following paper, we look at its use in ...
Barry Smyth