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

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 d...

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Veröffentlicht in:Computational linguistics - Association for Computational Linguistics 2020-11, Vol.46 (3), p.605-665
Hauptverfasser: Žabokrtský, Zdeněk, Zeman, Daniel, Ševčíková, Magda
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0891-2017
1530-9312
DOI:10.1162/coli_a_00385