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Contextual correlates of synonymy
Communications of the ACM
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
Correcting real-word spelling errors by restoring lexical cohesion
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WordNet: similarity - measuring the relatedness of concepts
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Using measures of semantic relatedness for word sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Acquisition of a New Type of Lexical-Semantic Relation from German Corpora
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
Extending the entity-grid coherence model to semantically related entities
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Measuring semantic relatedness using people and WordNet
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Comparing Wikipedia and German wordnet by evaluating semantic relatedness on multiple datasets
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Using wiktionary for computing semantic relatedness
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Knowledge derived from wikipedia for computing semantic relatedness
Journal of Artificial Intelligence Research
How well do semantic relatedness measures perform?: a meta-study
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Social Semantics and Its Evaluation by Means of Semantic Relatedness and Open Topic Models
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Automatically creating datasets for measures of semantic relatedness
LD '06 Proceedings of the Workshop on Linguistic Distances
Wisdom of crowds versus wisdom of linguists – measuring the semantic relatedness of words
Natural Language Engineering
A new semantic similarity measuring method based on web search engines
WSEAS Transactions on Computers
Extended explicit semantic analysis for calculating semantic relatedness of web resources
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
Combining heterogeneous knowledge resources for improved distributional semantic models
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Constructing and utilizing wordnets using statistical methods
Language Resources and Evaluation
Evaluating the results of methods for computing semantic relatedness
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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We present a new method for computing semantic relatedness of concepts. The method relies solely on the structure of a conceptual network and eliminates the need for performing additional corpus analysis. The network structure is employed to generate artificial conceptual glosses. They replace textual definitions proper written by humans and are processed by a dictionary based metric of semantic relatedness [1]. We implemented the metric on the basis of GermaNet, the German counterpart of WordNet, and evaluated the results on a German dataset of 57 word pairs rated by human subjects for their semantic relatedness. Our approach can be easily applied to compute semantic relatedness based on alternative conceptual networks, e.g. in the domain of life sciences.