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AAAI
2012
13 years 10 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld
ECCV
2004
Springer
16 years 9 months ago
Learning to Segment
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
Eran Borenstein, Shimon Ullman
GFKL
2007
Springer
152views Data Mining» more  GFKL 2007»
16 years 1 months ago
Supporting Web-based Address Extraction with Unsupervised Tagging
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
Berenike Loos, Chris Biemann
SIGIR
2003
ACM
16 years 23 days ago
Automatic image annotation and retrieval using cross-media relevance models
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labo...
Jiwoon Jeon, Victor Lavrenko, R. Manmatha
IAT
2009
IEEE
16 years 2 months ago
Modeling Agents with a Theory of Mind
Training systems with intelligent virtual agents provide an effective means to train people for complex, dynamic tasks like crisis management or firefighting. Virtual agents pro...
Maaike Harbers, Karel van den Bosch, John-Jules Ch...