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» Adaptive Learning in Machine Summarization
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FLAIRS
2008
13 years 10 months ago
Unsupervised Approach for Selecting Sentences in Query-based Summarization
When a user is served with a ranked list of relevant documents by the standard document search engines, his search task is usually not over. He has to go through the entire docume...
Yllias Chali, Shafiq R. Joty
CIKM
2009
Springer
14 years 3 months ago
Web search result summarization: title selection algorithms and user satisfaction
Eye tracking experiments have shown that titles of Web search results play a crucial role in guiding a user’s search process. We present a machine-learned algorithm that trains ...
Tapas Kanungo, Nadia Ghamrawi, Ki Yuen Kim, Lawren...
ICSE
2010
IEEE-ACM
14 years 1 months ago
Summarizing software artifacts: a case study of bug reports
Many software artifacts are created, maintained and evolved as part of a software development project. As software developers work on a project, they interact with existing projec...
Sarah Rastkar, Gail C. Murphy, Gabriel Murray
ICALT
2006
IEEE
14 years 2 months ago
Adapting SME Learning Environments for Adaptivity
There is a genuine demand for personalization and guidance in learning systems, as well as in general commercial learning systems for the WWW, and further, for the new, emerging S...
Alexandra I. Cristea, Angelo Wentzler, Egbert Heuv...
ICML
2007
IEEE
14 years 9 months ago
Cross-domain transfer for reinforcement learning
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
Matthew E. Taylor, Peter Stone