Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Ontology Learning and Its Application to Automated Terminology Translation
IEEE Intelligent Systems
Generating hierarchical summaries for web searches
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Language processing technologies for electronic rulemaking: a project highlight
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Supervised clustering with support vector machines
ICML '05 Proceedings of the 22nd international conference on Machine learning
Building automatically a business registration ontology
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Near-duplicate detection by instance-level constrained clustering
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
An Ontology Learning Model in Grid Information Services
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
Semantic taxonomy induction from heterogenous evidence
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Supervised clustering of streaming data for email batch detection
Proceedings of the 24th international conference on Machine learning
Text2Onto: a framework for ontology learning and data-driven change discovery
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
A metric-based framework for automatic taxonomy induction
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Automatically generating term-frequency-induced taxonomies
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Beyond terminologies: Using psychometrics to validate shared ontologies
Applied Ontology - Ontologies and Terminologies: Continuum or Dichotomy?
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Personal ontology construction is the task of sorting through relevant materials, identifying the main topics and concepts, and organizing them to suit personal needs. Automatic construction of personal ontologies is difficult in part because measuring the semantic distance between two concepts is difficult. Knowledge-based approaches use either knowledge bases, such as WordNet, or lexico-syntactic patterns to induce the differences between concepts. However, these techniques are only applicable for a subset of concepts and leave the majority unmeasurable. On the other hand, statistical approaches are able to induce the differences between any concept pair but lack of human knowledge involvement and hence suffer from low precision. In the context of personal ontology construction, semantic distances between concepts need to reflect personal preferences. Based on that, this paper presents a supervised hierarchical clustering framework to incorporate personal preferences for distance metric learning in personal ontology construction. In this framework, periodic manual guidance provides training data for learning a distance metric and the learned metric is used during automatic activities to further construct the ontology. A detailed user study demonstrates that the approach is effective and accelerates the construction of personal ontologies.