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» Shallow Semantic Parsing using Support Vector Machines
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ISI
2005
Springer
14 years 6 days ago
Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content
Experiments were conducted to test several hypotheses on methods for improving document classification for the malicious insider threat problem within the Intelligence Community. ...
Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balas...
ACL
2008
13 years 8 months ago
Kernels on Linguistic Structures for Answer Extraction
Natural Language Processing (NLP) for Information Retrieval has always been an interesting and challenging research area. Despite the high expectations, most of the results indica...
Alessandro Moschitti, Silvia Quarteroni
ISBI
2009
IEEE
14 years 1 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
CVPR
2008
IEEE
14 years 8 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
CLEF
2008
Springer
13 years 8 months ago
RAVE: A Fast Logic-Based Answer Validator
RAVE (Real-time Answer Validation Engine) is a logic-based answer validator/selector designed for real-time question answering. Instead of proving a hypothesis for each answer, RAV...
Ingo Glöckner