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Generating a Concept Relation Network for Turkish Based on ConceptNet Using Translational Methods

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 12335)

Abstract

ConceptNet is a large-scale network of concepts and relationships, based on various common sense knowledge bases. Turkish is a language that lacks similar resources for processing texts and extracting meaning. This study discusses various methods to create a Turkish ConceptNet using translational techniques based on English ConceptNet and explains the results herewith obtained. Multiple models were tested, using different knowledge sources and tools including WordNet, Wikipedia, and Google Translate. Results obtained from each model and the approaches to improve these results are discussed, while also explaining details, assumptions, and drawbacks relevant to each relation.

Keywords

Common sense knowledge base ConceptNet Turkish Word sense disambiguation 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Computer EngineeringBoğaziçi UniversityIstanbulTurkey

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