Contextual correlates of synonymy
Communications of the ACM
DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
HLT '93 Proceedings of the workshop on Human Language Technology
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Measuring the relative compositionality of verb-noun (V-N) collocations by integrating features
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Automatic Evaluation of Information Ordering: Kendall's Tau
Computational Linguistics
Distributional measures of concept-distance: a task-oriented evaluation
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
SemEval'07 task 19: frame semantic structure extraction
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
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
Putting pieces together: combining FrameNet, VerbNet and WordNet for robust semantic parsing
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
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In this paper we introduce the notion of "frame relatedness", i.e. relatedness among prototypical situations as represented in the FrameNet database. We first demonstrate the cognitive plausibility of that notion through an annotation experiment, and then propose different types of computational measures to automatically assess relatedness. Results show that our measures provide good performance on the task of ranking pairs of frames.