Machine Learning
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
CBR for Document Retrieval: The FALLQ Project
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Choosing the word most typical in context using a lexical co-occurrence network
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Frequency estimates for statistical word similarity measures
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Scalable collaborative filtering using cluster-based smoothing
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
WordNet-based User Profiles for Neighborhood Formation in Hybrid Recommender Systems
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
Supervised latent semantic indexing using adaptive sprinkling
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Extracting keyphrases to represent relations in social networks from web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Sophia: a novel approach for textual case-based reasoning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A framework for understanding Latent Semantic Indexing (LSI) performance
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
A propositional approach to textual case indexing
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Unsupervised feature selection for text data
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Recognition of higher-order relations among features in textual cases using random indexing
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Term similarity and weighting framework for text representation
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Supervised word sense disambiguation using semantic diffusion kernel
Engineering Applications of Artificial Intelligence
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We present a novel approach to mine word similarity in Textual Case Based Reasoning. We exploit indirect associations of words, in addition to direct ones for estimating their similarity. If word Aco-occurs with word B, we say Aand Bshare a first order association between them. If Aco-occurs with Bin some documents, and Bwith Cin some others, then Aand Care said to share a second order co-occurrence via B. Higher orders of co-occurrence may similarly be defined. In this paper we present algorithms for mining higher order co-occurrences. A weighted linear model is used to combine the contribution of these higher orders into a word similarity model. Our experimental results demonstrate significant improvements compared to similarity models based on first order co-occurrences alone. Our approach also outperforms state-of-the-art techniques like SVM and LSI in classification tasks of varying complexity.