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ACL
2006
13 years 9 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
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 2 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...
WIA
2001
Springer
14 years 3 days ago
Finite-State Transducer Cascade to Extract Proper Names in Texts
This article describes a finite-state cascade for the extraction of person names in texts in French. We extract these proper names in order to categorize and to cluster texts with...
Nathalie Friburger, Denis Maurel
PRIS
2004
13 years 9 months ago
Learning Text Extraction Rules, without Ignoring Stop Words
Information Extraction (IE) from text /web documents has become an important application area of AI. As the number of web sites and documents has grown dramatically, the users need...
João Cordeiro, Pavel Brazdil
CHI
2006
ACM
14 years 8 months ago
Entity quick click: rapid text copying based on automatic entity extraction
Retyping text phrases can be time consuming. As a result, techniques for copying text from one software application to another, such as copy-and-paste and drag-and-drop are now co...
Eric A. Bier, Edward W. Ishak, Ed Chi