230 search results - page 14 / 46 » Case-Based Label Ranking |
NAACL
2010
13 years 6 months ago
2010
This paper introduces a system designed for automatically generating personalized annotation tags to label Twitter user's interests and concerns. We applied TFIDF ranking and...
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...