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» A Machine Learning Approach to Information Extraction
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TSE
2008
129views more  TSE 2008»
13 years 7 months ago
Classifying Software Changes: Clean or Buggy?
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
ICASSP
2010
IEEE
13 years 8 months ago
Learning deep rhetorical structure for extractive speech summarization
Extractive summarization of conference and lecture speech is useful for online learning and references. We show for the first time that deep(er) rhetorical parsing of conference ...
Justin Jian Zhang, Pascale Fung
ISCIS
2009
Springer
14 years 9 days ago
PopulusLog: People information database
—Information about individuals on publicly available web sites stands as a valuable, yet unorganized, data source. Turning such an enormous data source into a “database” is h...
Ali Cakmak, Mustafa Kirac, Gultekin Özsoyoglu
ALT
2003
Springer
13 years 11 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
ICAIL
2005
ACM
14 years 1 months ago
Automatic Legal Text Summarisation: Experiments with Summary Structuring
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a cor...
Ben Hachey, Claire Grover