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» An Ontology-Based Approach to Text Summarization
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DILS
2006
Springer
13 years 11 months ago
Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions
Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since ...
Tobias Kuhn, Loïc Royer, Norbert E. Fuchs, Mi...
ICML
2010
IEEE
13 years 8 months ago
A Language-based Approach to Measuring Scholarly Impact
Identifying the most influential documents in a corpus is an important problem in many fields, from information science and historiography to text summarization and news aggregati...
Sean Gerrish, David M. Blei
ICTAI
2009
IEEE
14 years 2 months ago
Classifying Sentence-Based Summaries of Web Documents
Text classification categories Web documents in large collections into predefined classes based on their contents. Unfortunately, the classification process can be time-consumi...
Maria Soledad Pera, Yiu-Kai Ng
ECAI
2000
Springer
14 years 9 hour ago
Learning Classification taxonomies from a classification knowledge based system
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
Hendra Suryanto, Paul Compton
DMIN
2006
114views Data Mining» more  DMIN 2006»
13 years 9 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu