Instance-Based Learning Algorithms
Machine Learning
Building explanations from rules and structured cases
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
Defining Knowledge Layers for Textual Case-Based Reasoning
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Supporting Dialogue Inferencing in Conversational Case-Based Reasoning
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Maintaining Unstructured Case Base
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Using Machine Learning for Assigning Indices to Textual Cases
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
What You Saw Is What You Want: Using Cases to Seed Information Retrieval
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Teaching case-based argumentation through a model and examples
Teaching case-based argumentation through a model and examples
Case retrieval through multiple indexing and heuristic search
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
Reasoning symbolically about partially matched cases
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
The Role of Information Extraction for Textual CBR
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A propositional approach to textual case indexing
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Integrated approach to detect inconspicuous contents
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Extending jCOLIBRI for textual CBR
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
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Since assigning indicies to textual cases is very time-consuming and can impede the development of CBR systems, methods to automate the task are desirable. In this paper, We present amachine learning approachthat helps to bootstrap the development of a larger case base from a small collection of marked-up case summaries. It uses the marked-up sentences as training examples to induce a classifier that labels incoming cases whether an indexing concept applies. We illustrate how domain knowledge and linguistic information can be integrated with amachine learning algorithm to improve performance.The paper presents experimental resultswhich indicate the usefulness of learning fromsentencesand adding a thesaurus. We also consider the chancesand limitations of leveraging the learned classifiers for full-text documents.