Textual CBR

[1]  Alejandro Martins,et al.  On Legal Texts and Cases , 1998 .

[2]  Philip Resnik,et al.  Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.

[3]  Finn Verner Jensen,et al.  Introduction to Bayesian Networks , 2008, Innovations in Bayesian Networks.

[4]  Tony A. Plate,et al.  Holographic reduced representations , 1995, IEEE Trans. Neural Networks.

[5]  R. Staveley.  A Theory for Practical Education in Librarianship. , 1972 .

[6]  David W. Conrath,et al.  Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy , 1997, ROCLING/IJCLCLP.

[7]  Michael E. Lesk,et al.  Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone , 1986, SIGDOC '86.

[8]  J. Searle.  Expression and Meaning: A taxonomy of illocutionary acts , 1975 .

[9]  Mario Lenz,et al.  CBR for Document Retrieval: The FALLQ Project , 1997, ICCBR.

[10]  James C. Lester,et al.  Justification Structures for Document Reuse , 1996, EWCBR.

[11]  Christiane Fellbaum,et al.  Combining Local Context and Wordnet Similarity for Word Sense Identification , 1998 .

[12]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[13]  Keith S. Donnellan,et al.  Language, Mind, and Knowledge , 1977 .

[14]  Graeme Hirst,et al.  Lexical chains as representations of context for the detection and correction of malapropisms , 1995 .

[15]  R. A. Leibler,et al.  On Information and Sufficiency , 1951 .

[16]  Dekang Lin,et al.  An Information-Theoretic Definition of Similarity , 1998, ICML.

[17]  Stephen E. Robertson,et al.  Okapi at TREC-3 , 1994, TREC.

[18]  Richard W. Hamming,et al.  Error detecting and error correcting codes , 1950 .