Sciweavers

390 search results - page 4 / 78
» Simplified similarity scoring using term ranks
Sort
View
BMCBI
2010
146views more  BMCBI 2010»
14 years 9 months ago
Revealing and avoiding bias in semantic similarity scores for protein pairs
Background: Semantic similarity scores for protein pairs are widely applied in functional genomic researches for finding functional clusters of proteins, predicting protein functi...
Jing Wang 0004, Xianxiao Zhou, Jing Zhu, Chenggui ...
EMNLP
2009
14 years 7 months ago
Clustering to Find Exemplar Terms for Keyphrase Extraction
Keyphrases are widely used as a brief summary of documents. Since manual assignment is time-consuming, various unsupervised ranking methods based on importance scores are proposed...
Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun
SIGMOD
2011
ACM
234views Database» more  SIGMOD 2011»
14 years 14 days ago
Ranking with uncertain scoring functions: semantics and sensitivity measures
Ranking queries report the top-K results according to a user-defined scoring function. A widely used scoring function is the weighted summation of multiple scores. Often times, u...
Mohamed A. Soliman, Ihab F. Ilyas, Davide Martinen...
NLDB
2007
Springer
15 years 3 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
86
Voted
EDBT
2010
ACM
135views Database» more  EDBT 2010»
15 years 29 days ago
Probabilistic ranking over relations
Probabilistic top-k ranking queries have been extensively studied due to the fact that data obtained can be uncertain in many real applications. A probabilistic top-k ranking quer...
Lijun Chang, Jeffrey Xu Yu, Lu Qin, Xuemin Lin