A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Multiview Semi-supervised Learning for Ranking Multilingual Documents
[chapter]
2011
Lecture Notes in Computer Science
We address the problem of learning to rank documents in a multilingual context, when reference ranking information is only partially available. We propose a multiview learning approach to this semisupervised ranking task, where the translation of a document in a given language is considered as a view of the document. Although both multiview and semi-supervised learning of classifiers have been studied extensively in recent years, their application to the problem of ranking has received much
doi:10.1007/978-3-642-23808-6_29
fatcat:xdmqogqynje2tjfsdvzrfj4p7m