Recent trends in hierarchic document clustering: a critical review
Information Processing and Management: an International Journal
Distributional clustering of words for text classification
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Statistical Models for Co-occurrence Data
Statistical Models for Co-occurrence Data
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Towards the Automatic Construction of Conceptual Taxonomies
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Nearly-automated metadata hierarchy creation
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Hierarchical-Hyperspherical Divisive Fuzzy C-Means (H2D-FCM) Clustering for Information Retrieval
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
Journal of the ACM (JACM)
A new method for clustering heterogeneous data: clustering by compression
WSEAS Transactions on Computers
Statistical modeling of large distribution sets
Proceedings of the Fourth SIGMOD PhD Workshop on Innovative Database Research
Cross-lingual latent topic extraction
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Global learning of focused entailment graphs
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Multi-label classification and extracting predicted class hierarchies
Pattern Recognition
A hierarchical model of web summaries
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Multilingual document mining and navigation using self-organizing maps
Information Processing and Management: an International Journal
Model-based hierarchical clustering
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Finding uninformative features in binary data
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
A quality driven Hierarchical Data Divisive Soft Clustering for information retrieval
Knowledge-Based Systems
Editorial: Narrative-based taxonomy distillation for effective indexing of text collections
Data & Knowledge Engineering
Entailment-based text exploration with application to the health-care domain
ACL '12 Proceedings of the ACL 2012 System Demonstrations
On the use of consensus clustering for incremental learning of topic hierarchies
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
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This paper presents a novel statistical latent class model for text mining and interactive information access. The described learning architecture, called Cluster-Abstraction Model (CAM), is purely data driven and utilizes contact-specific word occurrence statistics. In an intertwined fashion, the CAM extracts hierarchical relations between groups of documents as well as an abstractive organization of keywords. An annealed version of the Expectation-Maximization (EM) algorithm for maximum likelihood estimation of the model parameters is derived. The benefits of the CAM for interactive retrieval and automated cluster summarization are investigated experimentally.