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» An Entity-Level Approach to Information Extraction
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ACL
2006
13 years 10 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
CICLING
2005
Springer
14 years 2 months ago
Incremental Information Extraction Using Tree-Based Context Representations
Abstract. The purpose of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic pro...
Christian Siefkes
WWW
2005
ACM
14 years 9 months ago
Interactive web-wrapper construction for extracting relational information from web documents
In this paper, we propose a new user interface to interactively specify Web wrappers to extract relational information from Web documents. In this study, we focused on improving u...
Tsuyoshi Sugibuchi, Yuzuru Tanaka
DAS
2004
Springer
14 years 2 months ago
An Integrated Approach for Automatic Semantic Structure Extraction in Document Images
In this paper we present an integrated approach for semantic structure extraction in document images. Document images are initially processed to extract both their layout and logic...
Margherita Berardi, Michele Lapi, Donato Malerba
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 3 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...