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138
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ICDE
2009
IEEE
155views Database» more  ICDE 2009»
15 years 10 months ago
Join Optimization of Information Extraction Output: Quality Matters!
— Information extraction (IE) systems are trained to extract specific relations from text databases. Real-world applications often require that the output of multiple IE systems...
Alpa Jain, Panagiotis G. Ipeirotis, AnHai Doan, Lu...
142
Voted
ACL
2011
14 years 7 months ago
Template-Based Information Extraction without the Templates
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...
Nathanael Chambers, Dan Jurafsky
137
Voted
ICDE
2010
IEEE
224views Database» more  ICDE 2010»
16 years 3 months ago
Probabilistic Declarative Information Extraction
Abstract-Unstructured text represents a large fraction of the world's data. It often contain snippets of structured information within them (e.g., people's names and zip ...
Daisy Zhe Wang, Eirinaios Michelakis, Joseph M. He...
228
Voted
SIGMOD
2008
ACM
122views Database» more  SIGMOD 2008»
16 years 3 months ago
Building query optimizers for information extraction: the SQoUT project
Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems, which generate structured relation...
Alpa Jain, Panagiotis G. Ipeirotis, Luis Gravano
149
Voted
IJCAI
2003
15 years 5 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray