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134
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ACL
2009
15 years 13 days ago
Automatically Generating Wikipedia Articles: A Structure-Aware Approach
In this paper, we investigate an approach for creating a comprehensive textual overview of a subject composed of information drawn from the Internet. We use the high-level structu...
Christina Sauper, Regina Barzilay
138
Voted
CIDM
2007
IEEE
15 years 9 months ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner
CIKM
1999
Springer
15 years 6 months ago
Automatically Extracting Structure and Data from Business Reports
A considerable amount of clean semistructured data is internally available to companies in the form of business reports. However, business reports are untapped for data mining, da...
Stephen W. Liddle, Douglas M. Campbell, Chad Crawf...
130
Voted
PERCOM
2007
ACM
16 years 2 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
128
Voted
SEMWEB
2007
Springer
15 years 8 months ago
YARS2: A Federated Repository for Querying Graph Structured Data from the Web
We present the architecture of an end-to-end semantic search engine that uses a graph data model to enable interactive query answering over structured and interlinked data collecte...
Andreas Harth, Jürgen Umbrich, Aidan Hogan, S...