In this article we present a unified graph-based approach for measuring semantic similarity which enables effective comparison of linguistic items at multiple ...
Jul 15, 2015 · In this article we present a unified graph-based approach for measuring semantic similarity which enables effective comparison of linguistic ...
From senses to texts: An all-in-one graph-based approach for measuring semantic similarity · Mohammad Taher Pilehvar & Roberto Navigli · Artificial Intelligence ...
In this article we present a unified graph-based approach for measuring semantic similarity which enables effective comparison of linguistic items at multiple ...
In this article we present a unified graph-based approach for measuring semantic similarity which enables effective comparison of linguistic items at ...
Quantifying semantic similarity between linguistic items lies at the core of many applications in Natural Language Processing and Artificial Intelligence. It ...
In this article we present a unified graph-based approach for measuring semantic similarity which enables effective comparison of linguistic items at ...
Mohammad Taher Pilehvar , Roberto Navigli : From senses to texts: An all-in-one graph-based approach for measuring semantic similarity. Artif. Intell.
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What measures semantic similarity?
What is semantic similarity for text comparison between textual documents or sentences?
This work presents a unified approach to semantic similarity that operates at multiple levels, all the way from comparing word senses to comparing text ...
Oct 28, 2015 · Is feature-based approach to semantic similarity evaluation of concepts the best one among other families? I'm working with Linked Data (DBpedia ...