Graph drawing by force-directed placement
Software—Practice & Experience
WordNet: a lexical database for English
Communications of the ACM
Contextual correlates of synonymy
Communications of the ACM
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
HLT '93 Proceedings of the workshop on Human Language Technology
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Corpus-based and knowledge-based measures of text semantic similarity
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
WordNet::Similarity: measuring the relatedness of concepts
HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Extended gloss overlaps as a measure of semantic relatedness
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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Unsupervised methods of semantic relations extraction rely on a similarity measure between lexical units. Similarity measures differ both in kinds of information they use and in the ways how this information is transformed into a similarity score. This paper is making a step further in the evaluation of the available similarity measures within the context of semantic relation extraction. We compare 21 baseline measures -- 8 knowledge-based, 4 corpus-based, and 9 web-based metrics with the BLESS dataset. Our results show that existing similarity measures provide significantly different results, both in general performances and in relation distributions. We conclude that the results suggest developing a combined similarity measure.