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SIGIR
2011
ACM
14 years 17 days ago
Parallel learning to rank for information retrieval
Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficien...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...
ICSM
2000
IEEE
15 years 2 months ago
Information Retrieval Models for Recovering Traceability Links between Code and Documentation
The research described in this paper is concerned with the application of information retrieval to software maintenance, and in particular to the problem of recovering traceabilit...
Giuliano Antoniol, Gerardo Canfora, Gerardo Casazz...
EMNLP
2008
14 years 11 months ago
Mining and Modeling Relations between Formal and Informal Chinese Phrases from Web Corpora
We present a novel method for discovering and modeling the relationship between informal Chinese expressions (including colloquialisms and instant-messaging slang) and their forma...
Zhifei Li, David Yarowsky
IR
2007
14 years 9 months ago
An empirical study of tokenization strategies for biomedical information retrieval
Due to the great variation of biological names in biomedical text, appropriate tokenization is an important preprocessing step for biomedical information retrieval. Despite its im...
Jing Jiang, ChengXiang Zhai
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann