Yuval Marton, Saif Mohammad, and Philip Resnik. 2009. Estimating Semantic Distance Using Soft Semantic Constraints in Knowledge-Source – Corpus Hybrid Models.
We propose a corpus-thesaurus hybrid method that uses soft constraints to generate word-sense- aware distributional profiles (DPs) from coarser "concept DPs" ( ...
We propose a corpus-thesaurus hybrid method that uses soft constraints to generate word-senseaware distributional profiles (DPs) from coarser "concept DPs" ( ...
Yuval Marton, Saif M. Mohammad, Philip Resnik: Estimating Semantic Distance Using Soft Semantic Constraints in Knowledge-Source - Corpus Hybrid Models.
Estimating semantic distance using soft semantic constraints in knowledge-source-corpus hybrid models ; Year of Publication, 2009 ; Authors, Marton Y, Mohammad S, ...
Methods In this paper, we address these issues by presenting a novel method for NLP that implements unsupervised learning of word embeddings, semi-supervised ...
Estimating Semantic Distance Using Soft Semantic Constraints in Knowledge-Source-Corpus Hybrid Models by Yuval Marton, Saif Mohammad, Philip Resnik.
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How to calculate semantic distance?
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Estimating semantic distance using soft semantic constraints in knowledge-source–corpus hybrid models. Y Marton, S Mohammad, P Resnik. Proceedings of the 2009 ...
This thesis argues that estimating semantic distance is essentially a property of concepts (rather than words) and that two concepts are semantically close ...
Using our semantic distance measure, we obtained a correlation ratio of 0.89 with human judgments on a set of words pairs which led our measure to outperform ...