Skip to search formSkip to main contentSkip to account menu

Textual case-based reasoning

Known as: Textual Case Based Reasoning 
Textual case-based reasoning is a subtopic of case-based reasoning, in short CBR, a popular area in artificial intelligence. CBR suggests the ways to… 
Wikipedia (opens in a new tab)

Related topics

Related topics

3 relations
Artificial intelligenceCase-based reasoning

Broader (1)

Inductive reasoning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Case reuse in textual case-based reasoning
Text reuse involves reasoning with textual solutions of previous problems to solve new similar problems. It is an integral part… 
2011
2011
Graph-Based Representations for Textual Case-Based Reasoning
This thesis presents a graph-based approach to the problem of text representation. The work is motivated by the need for better… 
2010
2010
Taxonomic Semantic Indexing for Textual Case-Based Reasoning
Case-Based Reasoning (CBR) solves problems by reusing past problem-solving experiences maintained in a casebase. The key CBR… 
2010
2010
Introspective Knowledge Revision in Textual Case-Based Reasoning
The performance of a Textual Case-Based Reasoning system is critically dependent on its underlying model of text similarity… 
2010
2010
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… 
Highly Cited
2008
Highly Cited
2008
Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity
Intelligent analysis of heterogeneous data and information sources for efficient decision support presents an interesting yet… 
2007
2007
Case Authoring: From Textual Reports to Knowledge-Rich Cases
SmartCAT is a Case Authoring Tool that creates knowledge-rich cases from textual reports. Knowledge is extracted from the reports… 
Highly Cited
2001
Highly Cited
2001
Flexible Comparison of Conceptual GraphsWork done under partial support of CONACyT, CGEPI-IPN, and SNI, Mexico
Conceptual graphs allow for powerful and computationally affordable representation of the semantic contents of natural language… 
1998
1998
How Machine Learning can be Beneficial for Textual Case-Based Reasoning
In this paper, we discuss the benefits and limitations of Machine Learning (ML) for Case-Based Reasoning (CBR) in domains where… 
1998
1998
Developing Mapping and Evaluation Techniques for Textual Case-Based Reasoning
Textual Case-Based Reasoning (CBR) is not simply Information Retrieval (IR) of text documents which happen also to be cases. Nor… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)