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Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?

Zdeněk Žabokrtský, Daniel Zeman, Magda Ševčí­ková

2020Computational Linguistics19 citationsDOIOpen Access PDF

Abstract

This article gives an overview of how sentence meaning is represented in eleven deep-syntactic frameworks, ranging from those based on linguistic theories elaborated for decades to rather lightweight NLP-motivated approaches. We outline the most important characteristics of each framework and then discuss how particular language phenomena are treated across those frameworks, while trying to shed light on commonalities as well as differences.

Topics & Concepts

Meaning (existential)Computer scienceSentenceLinguisticsArtificial intelligenceNatural language processingEpistemologyPhilosophyNatural Language Processing TechniquesTopic ModelingText Readability and Simplification
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