Contextual correlates of synonymy
Communications of the ACM
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
Language independent NER using a maximum entropy tagger
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
A distributional model of semantic context effects in lexical processing
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Wide-coverage semantic representations from a CCG parser
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank
Computational Linguistics
Wide-coverage efficient statistical parsing with ccg and log-linear models
Computational Linguistics
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Distributional measures of concept-distance: a task-oriented evaluation
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
ASKNet: automated semantic knowledge network
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A study on similarity and relatedness using distributional and WordNet-based approaches
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Extended gloss overlaps as a measure of semantic relatedness
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Semantic relatedness from automatically generated semantic networks
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Discovering novel biomedical relations using ASKNet semantic networks
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Harnessing different knowledge sources to measure semantic relatedness under a uniform model
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Computing Semantic Relatedness Based on Search Result Analysis
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
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Humans are very good at judging the strength of relationships between two terms, a task which, if it can be automated, would be useful in a range of applications. Systems attempting to solve this problem automatically have traditionally either used relative positioning in lexical resources such as WordNet, or distributional relationships in large corpora. This paper proposes a new approach, whereby relationships are derived from natural language text by using existing NLP tools, then integrated into a large scale semantic network. Spreading activation is then used on this network in order to judge the strengths of all relationships connecting the terms. In comparisons with human measurements, this approach was able to obtain results on par with the best purpose built systems, using only a relatively small corpus extracted from the web. This is particularly impressive, as the network creation system is a general tool for information collection and integration, and is not specifically designed for tasks of this type.