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» Finding nuggets in documents: A machine learning approach
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ICML
2010
IEEE
13 years 8 months ago
Learning optimally diverse rankings over large document collections
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Go...
ECTEL
2007
Springer
14 years 4 months ago
From Informal Learner to Active Content Provider: SLEAM Approach
Creation of the reusable learning content in the process of work is a challenging but promising trend in e-learning and knowledge management. While the main research focus nowadays...
Oleg Rostanin, Markus Ludwar
HT
2010
ACM
14 years 5 days ago
Assessing users' interactions for clustering web documents: a pragmatic approach
In this paper we are interested in describing Web pages by how users interact within their contents. Thus, an alternate but complementary way of labelling and classifying Web docu...
Luis A. Leiva, Enrique Vidal
EMNLP
2004
13 years 11 months ago
Learning Hebrew Roots: Machine Learning with Linguistic Constraints
The morphology of Semitic languages is unique in the sense that the major word-formation mechanism is an inherently non-concatenative process of interdigitation, whereby two morph...
Ezra Daya, Dan Roth, Shuly Wintner
READING
2004
Springer
14 years 3 months ago
Improving Document Transformation Techniques with Collaborative Learned Term-Based Concepts
Document Transformation techniques have been studied for decades. In this paper, a new approach for a significant improvement is presented based on using a new query expansion met...
Stefan Klink