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107
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SSPR
2004
Springer
15 years 8 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
122
Voted
CSUR
2006
135views more  CSUR 2006»
15 years 2 months ago
Adaptive information extraction
The growing availability of on-line textual sources and the potential number of applications of knowledge acquisition from textual data has lead to an increase in Information Extr...
Jordi Turmo, Alicia Ageno, Neus Català
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
15 years 9 months ago
Generalized Framework for Syntax-Based Relation Mining
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
Bonaventura Coppola, Alessandro Moschitti, Daniele...
98
Voted
IJCAI
2001
15 years 4 months ago
Adaptive Information Extraction from Text by Rule Induction and Generalisation
(LP)2 is a covering algorithm for adaptive Information Extraction from text (IE). It induces symbolic rules that insert SGML tags into texts by learning from examples found in a u...
Fabio Ciravegna
114
Voted
WWW
2007
ACM
16 years 3 months ago
Towards Deeper Understanding of the Search Interfaces of the Deep Web
Many databases have become Web-accessible through form-based search interfaces (i.e., HTML forms) that allow users to specify complex and precise queries to access the underlying ...
Hai He, Weiyi Meng, Yiyao Lu, Clement T. Yu, Zongh...