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2003
15 years 8 months ago
Learning to Extract Information for the Semantic Web
Abstract: The goal 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 queryi...
Christian Siefkes
IEICET
2007
127views more  IEICET 2007»
15 years 6 months ago
Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining
abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Signi...
Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, ...
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
16 years 7 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana
COLT
1999
Springer
15 years 11 months ago
On a Generalized Notion of Mistake Bounds
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Sanjay Jain, Arun Sharma
LREC
2008
125views Education» more  LREC 2008»
15 years 8 months ago
Adaptation of Relation Extraction Rules to New Domains
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
Feiyu Xu, Hans Uszkoreit, Hong Li, Niko Felger