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» Probabilistic Declarative Information Extraction
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ICDE
2010
IEEE
224views Database» more  ICDE 2010»
14 years 4 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...
SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
12 years 7 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
VLDB
2007
ACM
153views Database» more  VLDB 2007»
14 years 4 months ago
Declarative Information Extraction Using Datalog with Embedded Extraction Predicates
In this paper we argue that developing information extraction (IE) programs using Datalog with embedded procedural extraction predicates is a good way to proceed. First, compared ...
Warren Shen, AnHai Doan, Jeffrey F. Naughton, Ragh...
SIGMOD
2008
ACM
134views Database» more  SIGMOD 2008»
14 years 4 months ago
SystemT: a system for declarative information extraction
As applications within and outside the enterprise encounter increasing volumes of unstructured data, there has been renewed interest in the area of information extraction (IE) ? t...
Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghava...
ACL
2010
13 years 2 months ago
SystemT: An Algebraic Approach to Declarative Information Extraction
As information extraction (IE) becomes more central to enterprise applications, rule-based IE engines have become increasingly important. In this paper, we describe SystemT, a rul...
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao ...