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AAAI
2012
11 years 8 months ago
Improving Twitter Retrieval by Exploiting Structural Information
Most Twitter search systems generally treat a tweet as a plain text when modeling relevance. However, a series of conventions allows users to tweet in structural ways using combin...
Zhunchen Luo, Miles Osborne, Sasa Petrovic, Ting W...
IPPS
2006
IEEE
14 years 2 days ago
A method to improve structural modeling based on conserved domain clusters
—Homology modeling requires an accurate alignment between a query sequence and its homologs with known three-dimensional (3D) information. Current structural modeling techniques ...
Fa Zhang, Lin Xu, Bo Yuan
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
14 years 3 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
EACL
2009
ACL Anthology
13 years 3 months ago
Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument S
like text summarisation requires a means of producing novel summary sentences. In order to improve the grammaticality of the generated sentence, we model a global (sentence) level...
Stephen Wan, Mark Dras, Robert Dale, Cécile...
ISMAR
2005
IEEE
13 years 11 months ago
Adaptive Line Tracking with Multiple Hypotheses for Augmented Reality
We present a real-time model-based line tracking approach with adaptive learning of image edge features that can handle partial occlusion and illumination changes. A CAD (VRML) mo...
Harald Wuest, Florent Vial, Didier Stricker