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» Tipster MUC-5: information extraction system evaluation
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ICML
2005
IEEE
14 years 8 months ago
Evaluating machine learning for information extraction
Comparative evaluation of Machine Learning (ML) systems used for Information Extraction (IE) has suffered from various inconsistencies in experimental procedures. This paper repor...
Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, ...
KCAP
2011
ACM
12 years 10 months ago
An analysis of open information extraction based on semantic role labeling
Open Information Extraction extracts relations from text without requiring a pre-specified domain or vocabulary. While existing techniques have used only shallow syntactic featur...
Janara Christensen, Mausam, Stephen Soderland, Ore...
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
12 years 3 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
ACL
2010
13 years 5 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 ...
ICCSA
2007
Springer
14 years 1 months ago
ontoX - A Method for Ontology-Driven Information Extraction
Information Extraction (IE) is an important research field within the Artificial Intelligence community, for it tries to extract relevant information out of vast amounts of data....
Burcu Yildiz, Silvia Miksch