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A Supervised Learning Approach to Acronym Identification
acronym identification supervised learning
2015/8/3
This paper addresses the task of finding acronym-definition pairs in text. Most of the previous work on the topic is about systems that involve manually generated rules or regular expressions. In this...
Generalized Expectation Criteria for Lightly Supervised Learning
generalized expectation lightly supervised
2014/12/18
Machine learning has facilitated many recent advances in natural language processing and information extraction. Unfortunately, most machine learning methods rely on costly labeled data, which impedes...
Weakly Supervised Learning for Unconstrained Face Processing
deep learning face alignment face recognition machine learning unsupervised alignment unsupervised learning
2014/12/18
Machine face recognition has traditionally been studied under the assumption of a carefully controlled image acquisition process. By controlling image acquisition, variation due to factors such as pos...
Automating Crowd-supervised Learning for Spoken Language Systems
Automating Crowd-supervised Learning Spoken Language Systems
2014/11/27
Spoken language systems often rely on static speech recognizers. When the underlying models are improved on-the-fly,training is usually performed using unsupervised methods. In this work, we explore a...
Hiding Sensitive XML Association Rules With Supervised Learning Technique
XML Document Association Rules Bayesian Network PPDM Model NP-Hard K2 Algorithm
2013/1/28
In the privacy preservation of association rules, sensitivity analysis should be reported after the quantification of items in terms of their occurrence. The traditional methodologies, used for preser...