Word association norms, mutual information, and lexicography
Computational Linguistics
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Automatic Discovery of Part-Whole Relations
Computational Linguistics
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
Cognitively salient relations for multilingual lexicography
COGALEX '08 Proceedings of the workshop on Cognitive Aspects of the Lexicon
Structural, transitive and latent models for biographic fact extraction
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
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When subjects describe concepts in terms of their characteristic properties, they often produce composite properties, e. g., rabbits are said to have long ears, not just ears. We present a set of simple methods to extract the modifiers of composite properties (in particular: parts) from corpora. We achieve our best performance by combining evidence about the association between the modifier and the part both within the context of the target concept and independently of it. We show that this performance is relatively stable across languages (Italian and German) and for production vs. perception of properties.