Fusing distributional and experiential information for measuring semantic relatedness

Authors:
Yair Neuman;Dan Assaf;Yohai Cohen
Affiliations:
Department of Education, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel;Department of Education, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel;Department of Education, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
Venue:
Information Fusion
Year:
2013

Citing 20
Cited 0

Contextual correlates of synonymy

Communications of the ACM
Placing search in context: the concept revisited

ACM Transactions on Information Systems (TOIS)
Measuring praise and criticism: Inference of semantic orientation from association

ACM Transactions on Information Systems (TOIS)
Evaluating WordNet-based Measures of Lexical Semantic Relatedness

Computational Linguistics
Similarity of Semantic Relations

Computational Linguistics
Cognitive high level information fusion

Information Sciences: an International Journal
"More like these": growing entity classes from seeds

Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Language-Independent Set Expansion of Named Entities Using the Web

ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Iterative Set Expansion of Named Entities Using the Web

ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
2009 Special Issue: Language and cognition

Neural Networks
WikiRelate! computing semantic relatedness using wikipedia

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
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
Computing semantic relatedness using Wikipedia-based explicit semantic analysis

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Web-scale distributional similarity and entity set expansion

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Wisdom of crowds versus wisdom of linguists – measuring the semantic relatedness of words

Natural Language Engineering
From frequency to meaning: vector space models of semantics

Journal of Artificial Intelligence Research
Buzzwords on their way to a tipping-point: A view from the blogosphere

Complexity
Semantic relatedness from automatically generated semantic networks

IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Language and cognition interaction neural mechanisms

Computational Intelligence and Neuroscience
Literal and metaphorical sense identification through concrete and abstract context

EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Models of semantic relatedness have usually focused on language-based distributional information without taking into account ''experiential data'' concerning the embodied sensorial source of the represented concepts. In this paper, we present an integrative cognitive model of semantic relatedness. The model - semantic family resemblance - uses a variation of the co-product as a mathematical structure that guides the fusion of distributional and experiential information. Our algorithm provides superior results in a set expansion task and a significant correlation with two benchmarks of human rated word-pair similarity datasets.