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EMNLP
2008
14 years 11 months ago
Ranking Reader Emotions Using Pairwise Loss Minimization and Emotional Distribution Regression
This paper presents two approaches to ranking reader emotions of documents. Past studies assign a document to a single emotion category, so their methods cannot be applied directl...
Kevin Hsin-Yih Lin, Hsin-Hsi Chen
91
Voted
ACL
2009
14 years 8 months ago
Exploiting Bilingual Information to Improve Web Search
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...
Wei Gao, John Blitzer, Ming Zhou, Kam-Fai Wong
CIKM
2009
Springer
15 years 4 months ago
Expected reciprocal rank for graded relevance
While numerous metrics for information retrieval are available in the case of binary relevance, there is only one commonly used metric for graded relevance, namely the Discounted ...
Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre...
TREC
2004
14 years 11 months ago
Novel Approaches in Text Information Retrieval - Experiments in the Web Track of TREC 2004
: In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004. We deal with the problem of ranking Web documents within a multicriteria framewor...
Mohamed Farah, Daniel Vanderpooten
71
Voted
ECIR
2009
Springer
15 years 7 months ago
Joint Ranking for Multilingual Web Search
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong