Data & Knowledge Engineering - Special issue on linguistic instruments in knowledge engineering (LIKE)
A vector space model for automatic indexing
Communications of the ACM
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Towards the self-annotating web
Proceedings of the 13th international conference on World Wide Web
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Finding parts in very large corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Automatic construction of a hypernym-labeled noun hierarchy from text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Learning semantic constraints for the automatic discovery of part-whole relations
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Unsupervised named-entity extraction from the web: an experimental study
Artificial Intelligence
Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites
Computational Linguistics
Improvements in automatic thesaurus extraction
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
Unsupervised personal name disambiguation
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
The Description Logic Handbook
The Description Logic Handbook
Espresso: leveraging generic patterns for automatically harvesting semantic relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Identifying concept attributes using a classifier
DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
Automatically learning qualia structures from the web
DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
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
Learning Expressive Ontologies
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Automatically structuring domain knowledge from text: An overview of current research
Information Processing and Management: an International Journal
International Journal of Software Science and Computational Intelligence
Forgive and forget: return to obscurity
Proceedings of the 2013 workshop on New security paradigms workshop
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When extracting information about concepts from the Web, the problem is not recall, but precision: trying to identify which properties of a concept are genuinely distinctive. We discuss a series of experiments in empirical ontology using both unsupervised and supervised methods, showing that not all semantic relations we can extract from text are equally useful, and suggesting that attempting to identify concept attributes (parts, qualities, and the like) and their values results in better concept descriptions than those obtained by being less selective.