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» Taxonomic Semantic Indexing for Textual Case-Based Reasoning
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PKDD
2005
Springer
125views Data Mining» more  PKDD 2005»
13 years 10 months ago
A Propositional Approach to Textual Case Indexing
Abstract. Problem solving with experiences that are recorded in text form requires a mapping from text to structured cases, so that case comparison can provide informed feedback fo...
Nirmalie Wiratunga, Robert Lothian, Sutanu Chakrab...
EWCBR
2004
Springer
13 years 10 months ago
Learning Feature Taxonomies for Case Indexing
Taxonomic case retrieval systems significantly outperform standard conversational case retrieval systems. However, their feature taxonomies, which are the principal reason for thei...
Kalyan Moy Gupta, David W. Aha, Philip G. Moore
ICCBR
2010
Springer
13 years 3 months ago
Applying Machine Translation Evaluation Techniques to Textual CBR
The need for automated text evaluation is common to several AI disciplines. In this work, we explore the use of Machine Translation (MT) evaluation metrics for Textual Case Based R...
Ibrahim Adeyanju, Nirmalie Wiratunga, Robert Lothi...
BILDMED
2007
148views Algorithms» more  BILDMED 2007»
13 years 6 months ago
Complete Digital Iconic and Textual Annotation for Mammography
This work aims to propose an interactive method for a iconic and textual annotation of digital mammograms. The suggested annotation tool consists of a semantic network to represent...
Thomas Wittenberg, Matthias Elter, Rüdiger Sc...
EWCBR
2004
Springer
13 years 10 months ago
Feature Selection and Generalisation for Retrieval of Textual Cases
Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich comparison of textual cases remains an important challenge for these systems. How...
Nirmalie Wiratunga, Ivan Koychev, Stewart Massie