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» Using Linguistic Models for Image Retrieval
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CIKM
2010
Springer
13 years 6 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
TKDE
2008
378views more  TKDE 2008»
13 years 7 months ago
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by sea...
Xiaoyan Li, Lidan Shou, Gang Chen, Tianlei Hu, Jin...
DICTA
2009
13 years 8 months ago
Semantic Image Retrieval Using Region Based Inverted File
Image data is as common as textual data in this digital world. There is an urgent demand of image management tools as efficient as those text search engines. Decades of research on...
Dengsheng Zhang, Md. Monirul Islam, Guojun Lu, Jin...
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
14 years 1 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu
ECIR
2004
Springer
13 years 9 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Alessandro Moschitti, Roberto Basili