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ACL
2012
13 years 5 days ago
Temporally Anchored Relation Extraction
Although much work on relation extraction has aimed at obtaining static facts, many of the target relations are actually fluents, as their validity is naturally anchored to a cer...
Guillermo Garrido, Anselmo Peñas, Bernardo ...
ACL
2008
14 years 11 months ago
Large Scale Acquisition of Paraphrases for Learning Surface Patterns
Paraphrases have proved to be useful in many applications, including Machine Translation, Question Answering, Summarization, and Information Retrieval. Paraphrase acquisition meth...
Rahul Bhagat, Deepak Ravichandran
TNN
2010
234views Management» more  TNN 2010»
14 years 4 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
ICMLA
2009
14 years 7 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
ICA
2007
Springer
15 years 3 months ago
Discovering Convolutive Speech Phones Using Sparseness and Non-negativity
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
Paul D. O'Grady, Barak A. Pearlmutter