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» Ranking of Object Summaries
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ACL
2011
14 years 2 months ago
Jointly Learning to Extract and Compress
We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose fea...
Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein
ACL
2012
13 years 24 days ago
Assessing the Effect of Inconsistent Assessors on Summarization Evaluation
We investigate the consistency of human assessors involved in summarization evaluation to understand its effect on system ranking and automatic evaluation techniques. Using Text A...
Karolina Owczarzak, Peter A. Rankel, Hoa Trang Dan...
BMCBI
2008
98views more  BMCBI 2008»
14 years 10 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
WWW
2008
ACM
15 years 11 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
CC
2008
Springer
130views System Software» more  CC 2008»
15 years 12 days ago
IDE Dataflow Analysis in the Presence of Large Object-Oriented Libraries
Abstract. A key scalability challenge for interprocedural dataflow analysis comes from large libraries. Our work addresses this challenge for the general category of interprocedura...
Atanas Rountev, Mariana Sharp, Guoqing Xu