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PVLDB
2010
112views more  PVLDB 2010»
13 years 3 months ago
Querying Probabilistic Information Extraction
Recently, there has been increasing interest in extending relational query processing to include data obtained from unstructured sources. A common approach is to use stand-alone I...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
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...
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...
DEBU
2006
138views more  DEBU 2006»
13 years 5 months ago
Avatar Information Extraction System
The AVATAR Information Extraction System (IES) at the IBM Almaden Research Center enables highprecision, rule-based, information extraction from text-documents. Drawing from our e...
T. S. Jayram, Rajasekar Krishnamurthy, Sriram Ragh...
WWW
2002
ACM
14 years 5 months ago
Probabilistic query expansion using query logs
Query expansion has long been suggested as an effective way to resolve the short query and word mismatching problems. A number of query expansion methods have been proposed in tra...
Hang Cui, Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma