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 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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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. |
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ISSN: | 0891-2017 1530-9312 |
DOI: | 10.1162/coli_a_00385 |