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COLING
2010
13 years 5 months ago
Boosting Relation Extraction with Limited Closed-World Knowledge
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...
CVPR
2009
IEEE
15 years 5 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
12 years 12 days ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
WEBDB
1999
Springer
108views Database» more  WEBDB 1999»
14 years 2 months ago
Exploiting Geographical Location Information of Web Pages
Many information resources on the web are relevant primarily to limited geographical communities. For instance, web sites containing information on restaurants, theaters, and apar...
Orkut Buyukkokten, Junghoo Cho, Hector Garcia-Moli...
SIGIR
2010
ACM
14 years 1 months ago
Image search by concept map
In this paper, we present a novel image search system, image search by concept map. This system enables users to indicate not only what semantic concepts are expected to appear bu...
Hao Xu, Jingdong Wang, Xian-Sheng Hua, Shipeng Li