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COMPUTER
2000
180views more  COMPUTER 2000»
13 years 8 months ago
The Challenges of Automatic Summarization
tion--the art of abstracting key content from one or more information sources--has become an integral part of everyday life. People keep abreast of world affairs by listening to ne...
Udo Hahn, Inderjeet Mani
EKAW
2000
Springer
14 years 13 days ago
KIDS: An Iterative Algorithm to Organize Relational Knowledge
The goal of conceptual clustering is to build a set of embedded classes, which cluster objects based on their similarities. Knowledge organization aims at generating the set of mos...
Isabelle Bournaud, Mélanie Courtine, Jean-D...
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
JBI
2002
105views Bioinformatics» more  JBI 2002»
13 years 8 months ago
Information extraction for enhanced access to disease outbreak reports
Document search is generally based on individual terms in the document. However, for collections within limited domains it is possible to provide more powerful access tools. This ...
Ralph Grishman, Silja Huttunen, Roman Yangarber
IJCAI
2003
13 years 10 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray