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» Locating Complex Named Entities in Web Text
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AI
2005
Springer
13 years 7 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
AUSAI
2003
Springer
14 years 23 days ago
Information Extraction via Path Merging
Abstract. In this paper, we describe a new approach to information extraction that neatly integrates top-down hypothesis driven information with bottom-up data driven information. ...
Robert Dale, Cécile Paris, Marc Tilbrook
CICLING
2009
Springer
14 years 8 months ago
Business Specific Online Information Extraction from German Websites
This paper presents a system that uses the domain name of a German business website to locate its information pages (e.g. company profile, contact page, imprint) and then identifi...
Yeong Su Lee, Michaela Geierhos
NAR
2002
77views more  NAR 2002»
13 years 7 months ago
Genew: the Human Gene Nomenclature Database
Genew, the Human Gene Nomenclature Database, is the only resource that provides data for all human genes which have approved symbols. It is managed by the HUGO Gene Nomenclature C...
Hester M. Wain, Michael J. Lush, Fabrice Ducluzeau...
FLAIRS
2003
13 years 9 months ago
Orthographic Case Restoration Using Supervised Learning Without Manual Annotation
One challenge in text processing is the treatment of case insensitive documents such as speech recognition results. The traditional approach is to re-train a language model exclud...
Cheng Niu, Wei Li 0003, Jihong Ding, Rohini K. Sri...