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EMNLP
2009
15 years 4 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
NIPS
2004
15 years 7 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
SIGMOD
2010
ACM
187views Database» more  SIGMOD 2010»
15 years 11 months ago
PIQL: a performance insightful query language
Large-scale websites are increasingly moving from relational databases to distributed key-value stores for high request rate, low latency workloads. Often this move is motivated n...
Michael Armbrust, Stephen Tu, Armando Fox, Michael...
WSDM
2012
ACM
309views Data Mining» more  WSDM 2012»
14 years 1 months ago
Mining contrastive opinions on political texts using cross-perspective topic model
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
CIDR
2009
119views Algorithms» more  CIDR 2009»
15 years 7 months ago
DBMSs Should Talk Back Too
Natural language user interfaces to database systems have been studied for several decades now. They have mainly focused on parsing and interpreting natural language queries to ge...
Alkis Simitsis, Yannis E. Ioannidis